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GFsa Index for Adjustment of the Researchers’ Productivity/Ranking, considering the Two Most Relevant Variables Neglected: Total Number of Citations and “Scientific Age” – a Proof of Concept with the Assessment of 1,020 Highly-Cited Researchers in De

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04 April 2024

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08 April 2024

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Abstract
Background: Research articles are essential for describing new ideas, techniques, and procedures and consolidating concepts. It creates an opportunity to expose studies and publicly assimilate published knowledge. Therefore, one of them is the most used and accepted index to verify the author’s scientific impact is the H-index or Hirsch index. It provides a robust single metric that combines quality and quantity. Therefore, it presents disadvantages, (1) researchers with shorter scientific carriers may have fewer articles and citations than those with longer scientific life; (2) it allows scientists to receive citations even if no new papers are published; (3) it is only useful for comparing the better scientists in a field; (4) this indicator can never decrease; (5) it is only weakly sensitive to the number of citations received; (6) the major and minor (or no) contributor in the research gained equal h-index. Then, the H-index ignores the total of citations and the time of a researcher's experience (“scientific age” [sa]). Objective: Thus, the goal of this study was to present a new index system (GFsa index ©) based on the two variables completely forgotten (total of citations and “scientific age”), introducing a new terminology “scientific age”, to evaluate the best-ranked researchers in Dentistry. Methods: The AD Scientific Index was used, and all researchers included in this study were cited in the AD Scientific Index (2024) in the Dentistry field and had the Google Scholar page accessible for a consultation to manually obtain the total of citations and calculate the “scientific age”. The information was retrieved by two authors (G.V.O.F. and J.C.H.F.), who assessed the data twice to avoid errors or mistakes. For inclusion: a minimum H-index value of 30; for exclusion: (i) the author did not have a Google Scholar page; (ii) duplicated author; or (iii) presented any suspicious activities about manipulation of articles. Then, a dataset of all researchers who were reported in Dentistry was prepared (name, H-index, i10 index, and publications). The formula developed and applied was GFsa=(total number of citations)/(“scientific age)2. The Pearson correlation statistically evaluated the data obtained; the confidence interval was 95%. Results: A total of 9,093 researchers in Dentistry were recorded, of whom 1,020 were included. Then, we collected all 1,020 researchers' Google Scholar data (publications, citations, and indexes), and each researcher's total citations and “scientific age” were registered and calculated. The mean “scientific age” registered was 34.18 ± 13.34 (standard error of mean = 0.4181). With this information and data collected, GFsa index © was calculated, presenting a minimum value of 0.2186 and a maximum of 154.8 (mean = 10.33 ± 11.82; standard error of mean = 0.3706). Then, the data was organized and sorted following the ranking obtained in the GFsa index ©. The Pearson correlation showed that the H-index had a weakly positive association with the researcher’s “scientific age”; this fact means that the H-index will increase according to the “scientific age” increase. Otherwise, a moderately negative correlation between GFsa and “scientific age” was demonstrated, whereby a higher GFsa © had a lower “Scientific age”. This assessment shows that the variables introduced were fairly used. Moreover, a positive correlation was observed between both indexes (H-index and GFsa). Conclusion: It is possible to conclude that the new variable reported (“Scientific age”) and using the total citations brought a fairer and more feasible evaluation among the researchers. Thus, we are launching the new GFsa index © and the new information named “Scientific age” for the first time in the literature. The future perspective of the GFsa © application will be (1) the evaluation of the 9,093 researchers in Dentistry (total initially registered), including more authors/researchers in the Dentistry field, (2) expanding the exposition of this new index for other areas of the knowledge, and (3) provide free access of all data through the website (http://gfindex.us.to).
Keywords: 
Subject: Medicine and Pharmacology  -   Dentistry and Oral Surgery

1. Introduction

Research articles are essential for describing new ideas, techniques, and procedures and consolidating concepts. It creates an opportunity to expose studies and publicly assimilate published knowledge [1]. The depth and extension of recognition, acceptance, and utilization of methods transmitted by these articles will result in the author's metrics. Currently, author metrics are available at Scopus (Elsevier), Web of Science, Google Scholar Citations, ImpactStory, ResearchGate, Academia.edu, and Plum Analytics [2]. Five main metrics are used to evaluate quality: h-index, i10-index, g-index, Eigenfactor, and Article Influence Score, but others also exist [3,4]. Therefore, one of them is the most used and accepted to verify the author’s scientific impact: the h-index or Hirsch index. It provides a robust single metric that combines quality and quantity.

1.1. H-Index: The Most Important Currently Index

Hirsch (2005) [5] proposed a number (H-index) as a simple and useful way to characterize the cumulative scholarly impact of a researcher's scientific output. It measures the productivity and impact of an author’s published study [2]. It is defined as the highest number of publications of a scientist that received h or more citations each, while the other publications have not more than h citations each [6]; e.g., a researcher with an h-index of 10 had published 10 papers, each of which has been cited by others at least 10 times. Therefore, comparing individuals within different disciplines may not be optimal, even though they can be closely related [7,8,9]. Then, it is considered discipline-size dependent. Thereby, the pattern of citations and publications differs across various medical and health sciences disciplines.
Due to the importance of this index, it was suggested that researchers with values over 18 could be promoted to full professors, and it can be used as part of the data required by some tenure/promotion committees [10]. An H-index between 3 and 5 can be set as a standard for assistant professors; 8 to 12 for associate professors; and 15 to 20 is a good standard for appointment to full professors. In many disciplines, a general rule is followed for an acceptable H-index matching the number of years the author has worked in that discipline. Also, a good H-index can be considered 20; 40 is outstanding; and 60 is exceptional; therefore, high numbers are reached after many years of research life [5]. H-index has several advantages: (1) it is a reliable and robust indicator of scholarly achievement [11]; (2) it applies to researchers individually or in a group; (3) it is a mathematically simple index; (4) it combines two types of activity (in the original setting this is citation impact and publications); (5) any document can be included; (6) publications that are hardly ever cited do not influence the h-index - the h-index discourages publishing unimportant work; (7) single peaks (top publications) have hardly any influence on the h-index; (8) h-index is closely correlated to total publication output [5]; and (9) it can be easily obtained from databases such as Google Scholar, ISI Web of Knowledge, and Scopus. It is important to highlight some critical factors when using Google Scholar as source: (1) in many cases, it indexes the names of only the first and last authors; (2) it uses initials rather than first names, so searches may yield articles from a variety of authors who share first initials and last names, and (3) it does not totally capture articles in languages other than English (LOTE articles), leading to mistakes or underestimation of the H-index. Therefore, in spite of these questions, the comparison of h-indices obtained by using Google Scholar and Scopus were highly correlated [10].
As disadvantages, (1) the H-index puts, in its original setting [5], newcomers at a disadvantage since both publication output and observed citation rates will be relatively low (it is based on long-term observations) - researchers with shorter scientific carriers may have fewer articles and citations than with longer scientific life; (2) it allows scientists to rest on their results (H-index obtained), since the number of citations received may increase even if no new papers are published - influence of researcher “scientific age or academic age”; (3) it is only useful for comparing the better scientists in a field (it does not discriminate among average scientists); (4) this indicator can never decrease; (5) it is only weakly sensitive to the number of citations received; (6) the major and minor (or no) contributor in the research gained equal h-index; there is the influence of self-citation of an author by quoting earlier research publication [12]. Then, some relevant criticisms were raised for the H-index because it may provide incorrect information about a scientist's output [13], such as (1) overall citations, neglecting single contributions; (2) does not consider the context of the citations - in respected journals (with high impact factor [IF]) or otherwise; (3) does not account for the length of the author’s byline, and that it is directly related to an author’s number of publications [14]; (4) scientists with outstanding and highly cited articles but few in quantity, cannot achieve a high H-index. Then, it is difficult to propose a competitive or acceptable H-index for the recruitment/promotion of faculties or for funding and grants purposes.
Furthermore, the H-index is also affected by the accuracy of the citation database used for its calculation, which different databases may present different H-indexes because each database covers different journals and years of indexation [15]. In addition, there was an incorrect correlation between the H-index and the researcher’s rank position; some authors [10] suggested that the H-index increases according to academic rank increases; the article reported that the persons with the highest H-indices were the Chairs of the department. This may occur because the H-index is also related to the time spent in a discipline (the longer the time, the more citations one’s papers will get). On the other hand, it is extremely incorrect to affirm, mainly because this index never used the variable time to ponder the researchers’ impact.

1.2. Time: One of the Most Important Variable

Time is one of the most important variables in human life and society. Time anchors our references: past, present, and future, categories used for life events (births, meetings, and work deadlines) and everything. Moreover, Zeno's paradoxes affirm that "time is not a reality, but a concept or a measure” [16], whereas Albert Einstein fundamentally changed the way of thinking about time. In his theory, time is real and relative; it is a dimension just as the three spatial ones, and they are all intertwined into a four-dimensional 'spacetime', forming the universe. Moreover, Kelly and Jennions [17] argued that it is distasteful to reduce a researcher's lifetime work to a mere numerical value, as Einstein rightly pointed out: “Not everything that counts is countable, and not everything that is countable counts” [18].
Thus, within the time concept of a measure, many existent indexes, including the H-index, neglected this important variable. Otherwise, some indices considered the variable TIME to formulate the researcher’s impact: the Age-weighted citation rate (AWCR, AWCRpA [AWCR per Author]), AW-index (age-weighted) [19]. The AWCR measures the number of citations to an entire body of work, adjusted for the age of each individual paper, where the number of citations to a given paper is divided by the age of that paper. The AWCRpA is similar to the plain AWCR but is normalized to the number of authors for each paper. The AW-index is adjusted for the age of each individual paper (the older the researcher is, the higher your h-index will be) and was defined as the square root of the AWCR to allow comparison with the h-index. The AR-index [19] is the square root of the sum of all age-weighted citation counts over all papers that contribute to the h-index.

1.3. Objective

Currently, there is not a single perfect bibliometric index that accurately describes a researcher's impact. Although the H-index is the most used, combining two or more metrics was suggested [20]. However, due to the lack of total citations and “scientific age” consideration, the aim of this study was to present a new index system (GFsa index) based on the two variables completely forgotten (total of citations and “scientific age”), considering both as the fairest way to rank the scientists in Dentistry. This proof of concept was developed, and the best-ranked researchers in Dentistry were included.

2. Materials and Methods

2.1. H-Index Explanation

The h-index measures the number of publications (productivity) as well as how often they were cited. It is determined based on the calculation (h-index = n of publications with a citation number greater than or equal to h). For example, if 10 publications are cited 10 times or more, the researcher will receive an h-index of 10. Therefore, this index, which is currently the most relevant, has two problems based on the lack of consideration of the variable time and forgetting the total of citations that a researcher can receive.
2.2.“.Scientific Age” or Researcher’s Lifetime: The Concept
This is the hardest parameter to define and acquire; maybe, for this reason, no other index has tried to use it. The definition is the time spent by a researcher since the beginning. Therefore, finding this first researcher’s moment is not simple; moreover, there is no registry to prove when the researcher “was born”. Then, the most practical and feasible data to help in this concept was the first time the author appeared in the literature, which was considered the “researcher’s birthday”.
It could be considered many landmarks in the author’s life, such as (1) when the researcher started their first investigation (first contact with science); or (2) when they started their master’s or Ph.D. Therefore, in order to standardize and permit feasible and simple access to the “researcher’s birthday”, it was considered the “YEAR” of the first publication publicly found, which means the year of the first article that the authors publicly appeared in, easily sought and found in Google Scholar.
It was calculated following the formula: (i) current year; less (ii) the year of the first publication found in the Google Scholar (in case of questions, PubMed/MedLine, PubMed Central, and Scopus databases were consulted). Then, “scientific age” (sa) = (Current year) – (Year of the first publication).

2.3. Databases Used and Researchers' Inclusion

The recently published AD Scientific Index was used as consultation (https://www.adscientificindex.com/?subject=Medical+and+Health+Sciences+%2F+Dentistry) (data obtained on March 18th, 2024). All researchers included in this study were cited in the AD Scientific Index (2024) in the Dentistry field and had the respective Google Scholar page accessible and consulted (scholar.google.com) to obtain the desired information, which was performed by two authors (G.V.O.F. and J.C.H.F.). The data were assessed twice to avoid error or mistake.
There was a limitation/cutline for the inclusion of a minimum H-index value of 30 (March 29th, 2024). The author was excluded whether: (i) did not have a Google Scholar page; (ii) duplicated author; or (iii) presented any suspicious activities about manipulation of articles. We collect all researchers' Google Scholar publications, including citation data. We filter out the first publication in order to obtain the year.

2.4. Total Citations

It has been observed that the H-index or i10 index count only some citations according to their parameters. This fact brings disadvantages as observed, e.g., a researcher with around 10,000 citations received an H-index of 33, and another research with 3,700 citations also received an H-index of 33. Analyzing and observing this question deeply, we judged that it was not fair. Then, we also introduce the use of total citations in order to correctly qualify the professional.

2.5. Data Collection for the Highly Cited Researchers in Dentistry

We construct a dataset of all researchers who were reported in Dentistry. The name, H-index, i10 index, and publications were retrieved. Then, we selected as previously established the highly cited researchers via Google Scholar. The retrieved researchers were sorted by the H-index. Each author included had the Google Scholar consulted.

2.6. GFsa © Formula

Whereas the H-index can be considered deficient in correctly evaluating the researcher, the GF index considers the researcher's real impact, evaluating the researcher's “scientific age” and taking into consideration the total citations received. It brings better weighting and comparison between all professionals, independent of age. It permits the elimination of the disadvantages of old researchers and new ones.
Within this context, considering the “scientific age” as the most important parameter, the formula used to obtain the GFsa © was: Preprints 103149 i001.

2.7. Statistical Analysis

The data obtained was statistically evaluated. The Pearson correlation coefficient was measured, quantifying the strength and direction of the linear relationship between two quantitative variables (Index and “Scientific age”). The confidence interval was 95%. The range of the coefficient r takes values between –1 and 1. A positive r indicates a positive correlation, which means when one variable increases, the other tends to increase as well; whereas a negative r indicates a negative correlation: when one variable increases, the other tends to decrease. An r value of 0 implies no linear relationship between the variables. The strength of the correlation followed: (1) strongly positive: r > 0.5; (2) moderately positive: 0.3 < r ≤ 0.5; (3) weakly positive: 0 < r ≤ 0.3; (4) weakly negative: –0.3 ≤ r < 0; (5) moderately negative: –0.5 ≤ r < –0.3; and (6) strongly negative: r < –0.5.

3. Results

After manually evaluating the AD Scientific Index, we recorded a total of 9,093 researchers in Dentistry, of whom 1,020 were included, respecting the H-index of at least 30. All of them had Google Scholar also manually analyzed. Then, we collected all 1,020 researchers' Google Scholar data (publications, citations, and indexes). Specifically, each researcher's total citations and “scientific age” were registered and calculated (all data will be available at http://gfindex.us.to).
The minimum H-index registered was 30 (as previously established), and the maximum was 134 (mean = 46.22 ± 16.94; standard error of mean = 0.5311). The mean “scientific age” registered was 34.18 ± 13.34 (standard error of mean = 0.4181), with a minimum of 7 and a maximum of 103. With this information and data collected, GFsa index was calculated, presenting a minimum value of 0.2186 and a maximum of 154.8 (mean = 10.33 ± 11.82; standard error of mean = 0.3706) (Supplementry Table S1). Then, the data was organized and sorted following the ranking obtained in the GFsa index (Table 1).
Then, the interpretation was clear when observing the Pearson correlation coefficient obtained for the variables analyzed (Figure 1). The H-index had a weakly positive association with the researcher’s “scientific age”; this fact means that H-index will increase according to the “scientific age” increases. Otherwise, a moderately negative correlation between GFsa and “scientific age” was demonstrated, in which a higher GFsa had a lower “Scientific age”. This assessment shows that the variable introduced was fairly used. Moreover, a positive correlation was observed between both indexes (H-index and GFsa).

Discussion

Essentially, the number of publications and the impact factor are widely regarded as measures of the researchers’ qualifications and hence their reputation. It has also been implemented to promote the standing of scientific journals around the world. Guraya et al.’s study reported that some universities can offer generous grants to researchers who have a high H-index and more publications, mainly if the studies are published in leading well-reputed journals, in order to ensure more reliability and chances of more citations and, consequently, higher position in scientific ranking [21]. The use of the H-index in this article was due to be the most currently used, observed, and accepted index.
While the current evaluation of a researcher’s productivity evaluates the number of publications alone according to the article publication, it does not indicate any quality or impact. A researcher's standing (ranking) and reputation depend on how the author impacts the researcher community or field; this fact is easily observed through the citations that a study receives. Thereby, along with the growing number of articles published, a question arises: how a researcher's influence, standing, reputation, and research impact can be fairly measured? Then, in an attempt to overcome the shortcomings of the H-index, some authors postulated complementary indexes through the elaboration of mathematical models and proposed new “Hirsch-type” indexes. These are grouped into two broad categories: (1) Productive Output Core (describe the number of published papers): H-index, Egghe’s G-index [22,23], Kosmulski’s H(2)-index [24], and m-quotient; and (2) Impact of research papers: m-index, HW-index, R-index, Jin’s A-index [25], and AR-index. Both groups, even though different, can complement each other [26].
Moreover, in order to try to normalize the H-index across disciplines, some authors proposed mixed results. It can be observed at the G-index that aimed to improve it considering with more weight the highly cited articles [27]; the E-index differentiated scientists with similar H-indexes considering different citation patterns [28]; the AW-index considered to adjust the relevance according to the age of each individual paper (“the older you are the higher your h-index will be”) [19]; and the multi-authored H-index modified the original metric considering shared authorship of articles.
Even though all of them are providing improvements on the initial H-index, this original metric is still the most widely used. Then, due to a possible lack of simplicity presented by the abovementioned indexes, they were not implemented routinely. This fact extimulated us to propose the GFsa, which utilizes the total number of citations and the new concept proposed, the “Scientific age”. It was possible to confirm, observing the results of the study, that these criteria, when applied, brought a fair assessment of the researchers, avoiding trending of “the older, the higher index”.

Limitations of the Study

It is strongly recommended that the Google Scholar author’s page be revised for all authors to obtain the correct “Scientific age”. A potential limitation was found in the collection of the authors “scientific age,” with many wrong and old articles included on the Scholar page, due to similar names; moreover, many authors are receiving credits from other researchers on Google Scholar (articles wrongly included), leading to an incorrect or misinterpretation of the “researcher’s birthday”. Furthermore, it is necessary to avoid any manipulation of the first article published (to obtain a better GF index); this fact can be considered unfair, unethical, and hence, can bring misinterpretation of the “researcher’s birthday”/“scientific age”. We also verified that Google Scholar generally under-reports the number of authors for publications with large author sets. Through the manual access and inspection, it was assessed that Scholar does not record all authors in all articles; it is an important limitation of the Scholar data but does not interfere in the GFsa.

Conclusion

Within the limitation of this study, it is possible to conclude that the new variable reported (“Scientific age”) and the use of the total citations brought a fairer and feasible evaluation among the researchers. Thus, we are launching for the first time in the literature, the new GFsa index and the new information named “Scientific age”. The future perspective of the GFsa application will be (1) the evaluation of the 9,093 researchers in Dentistry (total initially registered) including more authors/researchers in the Dentistry field, (2) expanding the exposition of this new index for other areas of the knowledge, and (3) provide free access of all data through the website (http://gfindex.us.to).

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org.

Author Contributions

Conceptualization, G.V.O.F.; methodology, J.C.H.F., G.V.O.F.; software, J.C.H.F., G.V.O.F.; validation, J.C.H.F., G.V.O.F.; formal analysis, J.C.H.F., G.V.O.F.; investigation, J.C.H.F., G.V.O.F.; resources, G.V.O.F.; data curation, J.C.H.F., G.V.O.F.; writing—original draft preparation, J.C.H.F., G.V.O.F.; writing—review and editing, J.C.H.F., G.V.O.F.; visualization, G.V.O.F.; supervision, G.V.O.F.; project administration, G.V.O.F. Both authors have read and agreed to the published version of the manuscript.

Funding

N/A.

Institutional Review Board Statement

N/A.

Informed Consent Statement

N/A.

Data Availability Statement

All data are available at http://gfindex.us.to.

Conflicts of Interest

GFsa index © 2024 by Gustavo Vicentis Oliveira Fernandes is licensed under CC BY-NC 4.0.

References

  1. Pendlebury, D.A. The use and misuse of journal metrics and other citation indicators. Arch Immunol Ther Exp 2009, 57, 1–11. [Google Scholar] [CrossRef]
  2. Utrecht Universiteit. Research impact and visibility: traditional and altmetrics. https://libguides.library.uu.nl/researchimpact (Accessed , 2024). 4 April.
  3. Azer, S.A. , Holen, A., Wilson, I., Skokauskas, N. Impact factor of medical education journals and recently developed indices: Can any of them support academic promotion criteria? J Postgrad Med 2016, 62, 32–39. [Google Scholar] [CrossRef]
  4. ResearchGate. Available online: https://www.researchgate.net/ (accessed on 16 March 2024).
  5. Hirsch, J.E. An index to quantify an individual’s scientific research output. PNAS 2005, 102, 16569–16572. [Google Scholar] [CrossRef]
  6. Schreiber, M. An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index. J Am Soc Informat Sci Technol 2008, 59, 1513. [Google Scholar] [CrossRef]
  7. Castillo, M. Measuring Academic Output: The H-Index. Am J Neuroradiol 2010, 31, 783–786. [Google Scholar] [CrossRef]
  8. Bastian, S. , Ippolito, J.A., Lopez, S.A., Eloy, J.A., Beebe, K.S. The use of the h-Index in academic orthopaedic surgery. J Bone Joint Surg Am 2017, 99, e14. [Google Scholar] [CrossRef]
  9. Ence, A.K. , Cope, S.R., Holliday, E.B., Somerson, J.S. Publication productivity and experience: factors associated with academic rank among orthopaedic surgery faculty in the United States. J Bone Joint Surg Am 2016, 98, e41. [Google Scholar] [CrossRef]
  10. Lee, J. , Kraus, K.L., Couldwell, W.T. Use of the h-index in neurosurgery. J Neurosurg 2009, 111, 387–392. [Google Scholar] [CrossRef]
  11. Rousseau, R. The influence of missing publications on the Hirsch index. J Informetrics 2007, 1, 27. [Google Scholar] [CrossRef]
  12. Bornmann, L. , Daniel, H.D. What Do We Know About the h Index? J Am Soc Inform Sci Tech 2007, 58, 1381–1385. [Google Scholar] [CrossRef]
  13. Wendl, MC. H-index: however ranked, citations need context. Nature 2007, 449, 403. [Google Scholar] [CrossRef]
  14. Koltun, V. , Hafner, D. The h-index is no longer an effective correlate of scientific reputation. Plos One 2021, 16, e0253397. [Google Scholar] [CrossRef]
  15. Schreiber, M. An empirical investigation of the g-index for 26 physicists in comparison with the h-index, the A-index, and the R-index. J Am Soc Inform Sci Techn 2008, 59, 513. [Google Scholar] [CrossRef]
  16. Olshansky, S.J. , Carnes, B.A. Zeno's Paradox of Immortality. Gerontology 2013, 59, 85–92. [Google Scholar] [CrossRef]
  17. Kelly, C.D. , Jennions, M.D. The h index and career assessment by numbers. Trends Ecol Evol 2006, 21, 167–170. [Google Scholar] [CrossRef]
  18. Bornmann, L. , Daniel, H.D. The state of h index research. Is the h index the ideal way to measure research performance? EMBO Rep 2009, 10, 2–6. [Google Scholar] [CrossRef]
  19. BiHui, J. , LiMing, L., Rousseau, R., Egghe, L. The R- and AR-indices: complementing the h-index. Chinese Sci Bul 2007, 52, 855–863. [Google Scholar]
  20. Ahangar, H.G. , Siamian, H., Yaminfirooz, M. Evaluation of the scientific outputs of researchers with similar h index: a critical approach. Acta Inform Med 2014, 22, 255–258. [Google Scholar] [CrossRef]
  21. Guraya, S.Y. , Norman, R.I., Khoshhal, K.I., Guraya, S.S., Forgione, A. Publish or Perish mantra in the medical field: A systematic review of the reasons, consequences and remedies. Pak J Med Sci 2016, 32, 1562–1567. [Google Scholar] [CrossRef] [PubMed]
  22. Egghe, L. How to improve the h-index. The Scientist 2006, 20, 14. [Google Scholar]
  23. Egghe, L. An improvement of the H-index: The G-index. ISSI Newsletter 2006, 2, 89. [Google Scholar]
  24. Kosmulski, M. A new Hirsch-type index saves time and works equally well as the original h-index. ISSI Newsletter 2006, 2, 46. [Google Scholar]
  25. Jin, B.H. H-index: An evaluation indicator proposed by scientist. Science Focus (in Chinese) 2006, 1, 89. [Google Scholar]
  26. Bornmann, L. , Mutz, R., Daniel, H.D. Are There Better Indices for Evaluation Purposes than the h Index? A Comparison of Nine Different Variants of the h Index Using Data from Biomedicine. J Am Soc Inform Sci Tech 2008, 59, 830–837. [Google Scholar] [CrossRef]
  27. Egghe, L. Theory and practice of the g-index. Scientometrics 2006, 69, 131–152. [Google Scholar] [CrossRef]
  28. Zhang, C.T. Thee-index, complementing the h-index for excess citations. PloS One 2009, 4, e5429. [Google Scholar]
Preprints 103149 g001
Figure 1. Pearson correlation (r) demonstrates a negative association between GFsa and “scientific age” and a positive correlation between H-index and “scientific age.” Moreover, a positive correlation was observed between both indices (H-index and GFsa).
Figure 1. Pearson correlation (r) demonstrates a negative association between GFsa and “scientific age” and a positive correlation between H-index and “scientific age.” Moreover, a positive correlation was observed between both indices (H-index and GFsa).
Preprints 103149 g001
Table 1. Comparison of the result and researchers’ ranking between H-index and GFsa index (sorted by GFsa ranking). Green = position arrived; Red = position decreased; Yellow = kept the same position.
Table 1. Comparison of the result and researchers’ ranking between H-index and GFsa index (sorted by GFsa ranking). Green = position arrived; Red = position decreased; Yellow = kept the same position.
Researchers H-index H-index ranking GFsa index GFsa index ranking What's happened (ranking)?
Georgios Kotsakis 38 583 154.828402 1 582
Qian Wang 123 4 109.997622 2 2
Marta Revilla León 38 583 102.387755 3 580
Alberto Monje 57 178 78.5763889 4 174
Ratilal Lalloo 57 178 72.8310658 5 173
Yu-Kang Tu 65 118 65.2928 6 112
Maha El Tantawi 43 432 63.3767313 7 425
Van Meerbeek Bart 134 1 60.5198962 8 -7
Andy Wai Kan Yeung 37 618 60.0082645 9 609
Richard J Miron 59 161 57.0488889 10 151
Songtao Shi 112 10 56.0138776 11 -1
Takeshi Noda 65 118 55.3671875 12 106
Giuseppe Troiano 41 488 54.7933884 13 475
José F. Siqueira Jr. 117 7 54.0249703 14 -7
Bogna Stawarczyk 67 101 52.7301038 15 86
Jürgen Groll 69 89 51.5575 16 73
Mutlu Özcan 96 23 49.0919067 17 6
Yu Leo Lei 37 618 47.5804989 18 600
Mohammad Atai 39 555 47.4545455 19 536
Solmaz Maleki Dizaj 45 389 46.8106509 20 369
Nawshad Muhammad 53 236 46.2653061 21 215
Biao Ren 43 432 43.8977778 22 410
Frank Witte 43 432 43.705104 23 409
Yin Xiao 86 40 42.5701531 24 16
Andrew I Su 68 97 42.3264 25 72
Isabela N Rôças 91 33 42.112 26 7
İrena Sailer 61 142 41.7777778 27 115
Muhammad Sohail Zafar 56 196 41.7093426 28 168
Gabriel Kalil Rocha Pereira 36 669 40.93 29 640
Gaetano Isola 54 227 40.5039063 30 197
Wenjie Zhang 44 409 40.2307692 31 378
Spyridon N Papageorgiou 49 314 40.0828402 32 282
Shariq Najeeb 32 868 39.9305556 33 835
Donald Nixdorf 33 809 39.6280992 34 775
Pekka Vallittu 106 16 39.1337891 35 -19
Anton Sculean 102 19 39.0489074 36 -17
Hom Lay Wang 132 2 37.9315883 37 -35
David Herrera 74 70 37.7115385 38 32
Buser Daniel 127 3 36.9540816 39 -36
ML Mei 41 488 36.2959184 40 448
Guo-Hao (Alex) Lin 36 669 35.8016529 41 628
Hee Moon Kyung 39 555 34.1377778 42 513
Fernando Suárez López Del Amo 43 432 33.5277778 43 389
Zohaib Khurshid 53 236 32.1440443 44 192
Ronald Jung 81 53 32.0612245 45 8
Lussi Adrian 109 12 31.5533241 46 -34
Thomas Dietrich 69 89 31.2549428 47 42
Felipe Gonçalves Belladonna 40 519 31.2083333 48 471
Lobat Tayebi 66 110 31.0272109 49 61
William Giannobile 104 18 30.9247405 50 -32
Hsun Liang Chan 46 366 29.7688889 51 315
Rafael R Moraes 54 227 29.3573407 52 175
Cecilia Goracci 72 80 29.3008 53 27
Anibal Diogenes 49 314 28.8060942 54 260
Prasanna Neelakantan 44 409 28.5674741 55 354
Lippo Lassila 83 46 28.192602 56 -10
Stefan Priebe 111 11 27.931875 57 -46
Joo Cheol Park 39 555 27.0887574 58 497
Panos N Papapanou 85 42 26.6820988 59 -17
Elena Figuero Ruiz 48 332 26.6326531 60 272
Mona Nasser 41 488 26.631579 61 427
Marco Cicciu 61 142 26.3900227 62 80
Patrick Schmidlin 66 110 26.3667297 63 47
Martin Schimmel Mas 46 366 26.2802768 64 302
Daniela Prócida Raggio 46 366 26.1018519 65 301
Ammar Hassanzadeh Keshteli 46 366 26.058642 66 300
Caio Ferraz 67 101 26.0177515 67 34
Marco Versiani 58 165 25.9525 68 97
Gargi Sarode 32 868 25.8816568 69 799
Cristiano Tomasi 43 432 25.7324263 70 362
Elena M Varoni 37 618 25.6297578 71 547
Chen Yeng 37 618 25.4765625 72 546
Bruno Chrcanovic 62 134 25.4489796 73 61
Antonio Scarano 72 80 25.3288889 74 6
Panos Papaspyridakos 38 583 25.3125 75 508
Hercílio Martelli Júnior 44 409 25.0484429 76 333
Nagihan Bostanci 48 332 24.8919753 77 255
Helen Victoria Worthington 114 9 24.7348771 78 -69
Gustavo De-Deus 71 84 24.576 79 5
Valentim Barao 51 276 24.2993827 80 196
Praveen Arany 38 583 24.2382272 81 502
Junji Tagami 100 22 24.2016657 82 -60
Magda Feres 68 97 24.0534979 83 14
Rafael Sarkis-Onofre 30 973 23.9349112 84 889
Robert H Dworkin 105 17 23.9064 85 -68
Iain L Chapple 74 70 23.8653061 86 -16
Sachin Chakradhar Sarode 35 707 23.4755556 87 620
Steven Offenbacher 119 5 23.4431487 88 -83
Mahmoud Torabinejad 95 25 23.3331758 89 -64
Kimon Divaris 50 293 23.2797784 90 203
Cláudio Mendes Pannuti 44 409 23.2768166 91 318
Jan Cosyn 52 253 23.1972789 92 161
Yiu Yan Mike Leung 31 917 23.0902778 93 824
Flaviana Bombarda De Andrade 34 755 22.5138889 94 661
Ignacio Sanz Martin 31 917 22.2083333 95 822
Nasim Chiniforush 39 555 22 96 459
Hakan Arslan 52 253 21.9833795 97 156
Eduardo Fernández Godoy 38 583 21.8979592 98 485
Lars Sennerby 109 12 21.74625 100 -88
Paulo Henrique Braz Silva 30 973 21.6977778 101 872
Alireza Moshaverinia 40 519 21.5195313 102 417
Ove A Peters 70 85 21.4609782 103 -18
Ricardo Gariba Silva 39 555 21.4567474 104 451
Il Keun Kwon 64 126 21.4008876 105 21
Taha Özyürek 31 917 21.25 106 811
Marcelo Giannini 73 75 21.2066327 107 -32
Richard Geddie Watt 73 75 21.144169 108 -33
Maria Cassia Ferreira De Aguiar 37 618 20.8577778 109 509
Tuula Salo 102 19 20.8378685 110 -91
Atsuo Amano 69 89 20.6530471 111 -22
Gustavo Avila Ortiz 45 389 20.5827664 112 277
Indraneel Bhattacharyya 38 583 20.5429688 113 470
Russell S Taichman 72 80 20.5406574 114 -34
Geert Jmg Van Der Heijden 75 66 20.4816327 115 -49
Giampietro Farronato 37 618 20.2890625 116 502
G Lavigne 96 23 20.2647234 117 -94
Jukka P Matinlinna 55 211 19.9571006 118 93
Masoud Parirokh 41 488 19.8854167 119 369
Kenneth M Hargreaves 92 30 19.5358025 120 -90
Sinhoreti MA 74 70 19.2841797 121 -51
Georgios N Belibasakis 57 178 19.2204861 122 56
Sadeq Ali Al-Maweri 37 618 19.1835938 123 495
Maria Jose Hitomi Nagata 35 707 19.1530612 124 583
Kee-Joon Lee 35 707 19.0311419 125 582
Nurcan Buduneli 49 314 18.8975694 126 188
Morenike Oluwatoyin Folayan 53 236 18.7121914 127 109
Juliane Maria Guerreiro Tanomaru 56 196 18.6408318 128 68
Georgios E Romanos 84 44 18.6204082 129 -85
Gang Wu 38 583 18.5429688 130 453
Gustavo G Nascimento 43 432 18.5185185 131 301
Xiaohua Liu 41 488 18.4820416 132 356
Karan Gulati 35 707 18.3571429 133 574
Christopher D Lynch 60 151 18.21875 134 17
Yap Au 75 66 18.1914672 135 -69
Marco Antonio Bottino 49 314 18.1570248 136 178
Sašo Ivanovski 67 101 18.156956 137 -36
Cléa Adas Saliba Garbin 48 332 18.0920139 138 194
Momen A Atieh 34 755 18 139 616
Colman Mcgrath 76 61 17.8411387 140 -79
Ricardo Santiago Gomez 60 151 17.7530864 141 10
Tim Joda 39 555 17.7423823 142 413
İgnace Naert 93 29 17.7205786 143 -114
Paul H Krebsbach 83 46 17.6289262 144 -98
Yu Zhang 61 142 17.5395408 145 -3
Francisco Humberto Nociti Jr 68 97 17.526749 146 -49
Luca Fiorillo 46 366 17.432526 147 219
Irlan Almeida Freires 31 917 17.4222222 148 769
Nicola Cirillo 38 583 17.3598616 149 434
Veerasathpurush Allareddy 45 389 17.355 150 239
Phoebus Madianos 52 253 17.3377778 151 102
Hamid Jafarzadeh 36 669 17.2191358 152 517
Luca Testarelli 46 366 17.147448 153 213
Walter L Siqueira 50 293 17.0330579 154 139
Essam A Al-Moraissi 33 809 16.9940828 155 654
Thiago De Santana Santos 52 253 16.8696845 156 97
Lorenzo Lo Muzio 76 61 16.8559557 157 -96
Jonathan Broadbent 46 366 16.8185255 158 208
Bartold P Mark 92 30 16.8083951 159 -129
Mauricio Guimaraes Araujo 50 293 16.6773356 160 133
Arash Khojasteh 44 409 16.6675 161 248
Ricardo D Coletta 67 101 16.5229592 162 -61
Omar Kujan 33 809 16.5069252 163 646
Theodore Eliades 74 70 16.4573003 164 -94
Massimo Del Fabbro 82 50 16.3094136 165 -115
Alexandre Augusto Zaia 66 110 16.3090531 166 -56
Kevin Moss 49 314 16.2881944 167 147
Shaymaa Elsaka 32 868 16.2044444 168 700
Alessandra Reis 94 28 16.1592971 169 -141
Maria Letícia Ramos-Jorge 59 161 16.1472 170 -9
Marlise Inêz Klein 39 555 16.1315193 171 384
Takayuki Tsukuba 34 755 16.0566406 172 583
Roland Frankenberger 75 66 16.0361328 173 -107
Ricardo Teles 53 236 15.9961735 174 62
Yiu Cynthia Ky 68 97 15.9935721 175 -78
Atsushi Mine 41 488 15.9872 176 312
Jessica Y Lee 53 236 15.8472222 177 59
Martina Stefanini 32 868 15.8222222 178 690
Sufyan Garoushi 41 488 15.7962963 179 309
Tiziano Testori 107 14 15.7664609 180 -166
Saman Warnakulasuriya 95 25 15.7197001 181 -156
Ali Farahani 38 583 15.671875 182 401
Habib Benzian 34 755 15.6135734 183 572
Aj Feilzer 80 56 15.55 184 -128
Stephen Porter 87 39 15.5487528 185 -146
Ali Nosrat 30 973 15.52 186 787
Jorge Perdigao 81 53 15.4411357 187 -134
Akimasa Tsujimoto 38 583 15.4186851 188 395
Asgeir Sigurdsson 55 211 15.4023438 189 22
Ricardo M Carvalho 91 33 15.3524306 190 -157
Joseph Y Kan 48 332 15.2488889 191 141
Jamil Awad Shibli 61 142 15.2194787 192 -50
N Silikas 62 134 15.1640904 193 -59
Marcio Casati 61 142 15.0994898 194 -52
Woosung Sohn 42 462 15.0464 195 267
Stefano Fedele 56 196 15.0112 196 0
Jacques Nor 76 61 14.9714506 197 -136
Yan Wang 34 755 14.9443359 198 557
Thiago Saads Carvalho 36 669 14.8947368 199 470
Jae-Sung Kwon 31 917 14.8284024 200 717
Amid Ismail 76 61 14.7662106 201 -140
Lakshman Samaranayake 101 21 14.7539063 202 -181
Ye Ling 38 583 14.7475 203 380
Wasiu Lanre Adeyemo 48 332 14.6942149 204 128
Scribante Andrea 49 314 14.6394558 205 109
Alvaro Della Bona 67 101 14.6115917 206 -105
Jepsen Søren 89 37 14.272803 207 -170
Edward Ellis 91 33 14.2120181 208 -175
Jenneke Klein-Nulend 83 46 14.2025 209 -163
Shemesh H 40 519 14.1818182 210 309
Chaminda Jayampath Seneviratne 43 432 14.1775 211 221
Tarcília Aparecida Da Silva 57 178 14.1186225 212 -34
Cristiano Susin 58 165 14.078478 213 -48
Giuseppe Perinetti 52 253 14.0378072 214 39
Tae Ju Oh 37 618 14.035124 215 403
Anderson T Hara 53 236 13.976 216 20
Patricia Diaz-Moreno 41 488 13.9513889 217 271
Bastiaan P. Krom 46 366 13.8732639 218 148
Stefano Corbella 36 669 13.8641975 219 450
Lorenzo Franchi 86 40 13.7143595 220 -180
Felipe Paiva Fonseca 34 755 13.6712803 221 534
Kamran Awan 31 917 13.5822222 222 695
Fabricio Mezzomo Collares 37 618 13.5802469 223 395
Trevor Steward 34 755 13.3554688 224 531
Venkateshbabu Nagendrababu 38 583 13.2932099 225 358
Ana Bedran Russo 46 366 13.28125 226 140
Thiago Machado Ardenghi 50 293 13.2400756 227 66
Janaina de Cássia Orlandi Sardi 33 809 13.1800554 228 581
Christoph Ramseier 42 462 13.1538462 229 233
Achille Tarsitano 33 809 13.1484375 230 579
Claudia Trindade Mattos 31 917 13.1428571 231 686
Razia Khammissa 35 707 13.1211073 232 475
Mario Pérez Sayáns 31 917 13.1132813 233 684
Duazary 31 917 12.9925 234 683
Jin Soo Ahn 32 868 12.7889273 235 633
Mine Koruyucu Yıldırım 34 755 12.7773438 236 519
Lucianne Cople Maia 55 211 12.7466667 237 -26
Laurence J Walsh 69 89 12.7376562 238 -149
Lucia Cevidanes 62 134 12.7158203 239 -105
Raphael Freitas De Souza 50 293 12.6864 240 53
Egija Zaura 46 366 12.6789536 241 125
Marco Carrozzo 58 165 12.6455078 242 -77
Chung How Kau 51 276 12.5843195 243 33
Eija Könönen 57 178 12.5665748 244 -66
Jose Bagan 73 75 12.530572 245 -170
Mariana Minatel Braga 44 409 12.510397 246 163
Fausto Medeiros Mendes 58 165 12.4877778 247 -82
Josimeri Hebling 63 132 12.4757786 248 -116
Stuart C White 53 236 12.4593426 249 -13
Ana Estela Haddad 34 755 12.4394464 250 505
Yara Teresinha Corrêa Silva Sousa 47 350 12.4322917 251 99
David Williams 51 276 12.4255983 252 24
Pablo Agustin Vargas 43 432 12.3639053 253 179
Salvatore Sauro 50 293 12.2721894 254 39
Regina Guenka Palma Dibb 47 350 12.224 255 95
Patricia Pereira 56 196 12.2015306 256 -60
Vittoria Perrotti 47 350 12.1197917 257 93
W Murray Thomson 95 25 12.1079592 258 -233
Paolo Capparè 39 555 12.0720222 259 296
Ignacio Sanz Sanchez 34 755 12.0702479 260 495
Mevlüt Çelikoğlu 40 519 12.0339506 261 258
Taís De Souza Barbosa 33 809 11.9537037 262 547
Evandro Piva 46 366 11.9392 263 103
Yong Wang 57 178 11.9366667 264 -86
Jung-Seok Lee 34 755 11.9273356 265 490
Paul M Speight 80 56 11.8899793 266 -210
Carlos Flores Mir 84 44 11.8441043 267 -223
Kaan Orhan 49 314 11.7503429 268 46
Gunnar E Carlsson 118 6 11.7342012 269 -263
Lyndon Cooper 66 110 11.7278393 270 -160
Sarah Kuehne 32 868 11.675 271 597
Martyn Cobourne 53 236 11.6594388 272 -36
Paul W Major 85 42 11.6315193 273 -231
Hee-Jin Kim 55 211 11.6212279 274 -63
Ivo Krejci 73 75 11.596875 275 -200
Todd Kuiken 65 118 11.5900277 276 -158
Anne Marie Kuijpers-Jagtman 83 46 11.5122873 277 -231
Enilson A Sallum 64 126 11.5039063 278 -152
Daniela Garib 43 432 11.473251 279 153
Trombelli Leonardo 62 134 11.4691358 280 -146
Mário Tanomaru Filho 69 89 11.4514244 281 -192
Mario Alexandre Coelho Sinhoreti 57 178 11.4422477 282 -104
Frederico Canato Martinho 35 707 11.4359862 283 424
Despina Koletsi 31 917 11.4311111 284 633
Sotirios Tetradis 50 293 11.3804994 285 8
Euiseong Kim 47 350 11.359375 286 64
Toru Takeshita 34 755 11.2901235 287 468
Christos Katsaros 61 142 11.2819979 288 -146
Claudio R Leles 46 366 11.2806183 289 77
Jaime A Cury 82 50 11.2593934 290 -240
Margherita Fontana 50 293 11.2351717 291 2
Brenda Gomes 57 178 11.1992654 292 -114
Rogerio M Castilho 40 519 11.1909722 293 226
Guglielmo Campus 50 293 11.1724138 294 -1
Lourenço Correr Sobrinho 57 178 11.1466667 295 -117
Justin Durham 41 488 11.0362812 296 192
Giampiero Rossi Fedele 34 755 11.0166205 297 458
Tolga Fikret Tozum 43 432 10.9895833 298 134
Loc Do 36 669 10.9886621 299 370
Nick Jakubovics 40 519 10.9135803 300 219
Carolina Castro Martins 44 409 10.8888889 301 108
Alessandro Vichi 51 276 10.8847656 302 -26
Sema Belli 50 293 10.8751715 303 -10
Aldiéris Alves Pesqueira 35 707 10.867284 304 403
Richard M Logan 48 332 10.866941 305 27
Soares DG 37 618 10.8611111 306 312
Leonardo Perez Faverani 32 868 10.7577855 307 561
Mariano Sanz 107 14 10.7378702 308 -294
Nikos Mattheos 44 409 10.6614583 309 100
Chengfei Zhang 47 350 10.5982143 310 40
Yasuhiro Kobayashi 45 389 10.5872781 311 78
Antonella Polimeni 64 126 10.5675676 312 -186
Dennis Tarnow 74 70 10.5603299 313 -243
Isaac Suzart Gomes Filho 34 755 10.5512465 314 441
Christoph Bourauel 56 196 10.5118367 315 -119
Hyeon Cheol Kim 41 488 10.5044379 316 172
Ziad Salameh 33 809 10.4487535 317 492
Nikolaos G Nikitakis 44 409 10.421875 318 91
Eliete Guerra 40 519 10.4045369 319 200
William Wade 64 126 10.3693827 320 -194
Frank Scannapieco 65 118 10.3622449 321 -203
Paul MH Dummer 82 50 10.3517429 322 -272
Shahriar Shahi 40 519 10.3175 323 196
Brent Larson 33 809 10.2731921 324 485
Daniela Rios 47 350 10.2411243 325 25
Roger Keller Celeste 44 409 10.2334184 326 83
Tze Ta Huang 90 36 10.1730915 327 -291
Paul Abbott 67 101 10.1314924 328 -227
Lars Andersson 61 142 10.1179016 329 -187
Paulo Francisco Cesar 45 389 10.1083676 330 59
Anil Kishen 62 134 10.0710204 331 -197
Marcelo Goiato 56 196 10.0390625 332 -136
Mohamed Bayome 30 973 10.0311111 333 640
Lior Shapira 54 227 10.000625 334 -107
Marzieh Alikhasi 34 755 9.93518519 335 420
Ronald Ordinola Zapata 50 293 9.90828402 336 -43
Paolo M Cattaneo 35 707 9.85255199 337 370
Heinz Theo Lübbers 36 669 9.85 338 331
Dennis Cvitkovitch 58 165 9.84256055 339 -174
Sivapathasundharam B 35 707 9.83931947 340 367
Gianrico Spagnuolo 51 276 9.81111111 341 -65
Josette Camilleri 66 110 9.76125 342 -232
Mannocci F 62 134 9.72169467 343 -209
Hyun Mo Ryoo 52 253 9.6955102 344 -91
Hyo Sang Park 45 389 9.68962351 345 44
Catherine F Poh 38 583 9.61458333 346 237
Nikolaos Pandis 63 132 9.60847334 347 -215
Ivan B Darby 35 707 9.5472 348 359
Vita Machiulskiene 35 707 9.5 349 358
Tien Min Gabriel Chu 35 707 9.46016647 350 357
Alessandro Leite Cavalcanti 38 583 9.44526627 351 232
Guilherme Janson 60 151 9.44125 352 -201
Yongchul Bae 52 253 9.41894531 353 -100
Soraya Coelho Leal 48 332 9.37217598 354 -22
Lívia Azeredo A Antunes 32 868 9.36288089 355 513
Newell Johnson 92 30 9.33480749 356 -326
Débora Alves Nunes Leite Lima 31 917 9.33240997 357 560
Elif Bahar Tuna 32 868 9.32407407 358 510
Fernanda Carvalho Panzeri Pires De Souza 34 755 9.305 359 396
Luiz Felipe Valandro 69 89 9.30160619 360 -271
Kenio Costa De Lima 57 178 9.27918367 361 -183
Michael Mccullough 51 276 9.27734375 362 -86
Rafael Rodrigues Lima 38 583 9.27479339 363 220
Moharamzadeh K 31 917 9.2475 364 553
Stephen Challacombe 81 53 9.20256319 365 -312
Keith Kirkwood 44 409 9.16695502 366 43
Dag Ørstavik 70 85 9.15340254 367 -282
Andre Figueiredo Reis 33 809 9.13194444 368 441
Rodrigo A Giacaman 36 669 9.11564626 369 300
Wenche S Borgnakke 35 707 9.11183674 370 337
Anders Johansson 89 37 9.1090535 371 -334
Marcelo Bönecker 50 293 9.10644531 372 -79
Bill Kahler 36 669 9.0704 373 296
Perry Klokkevold 40 519 9.0348455 374 145
Emmanuel João Nogueira Leal da Silva 57 178 9.01697531 375 -197
Fábio Luiz Mialhe 37 618 8.99305556 376 242
Isabela Pordeus 69 89 8.97714681 377 -288
John Timothy Wright 55 211 8.95800781 378 -167
Estevam Augusto Bonfante 49 314 8.95684114 379 -65
Sankara Narayanan 55 211 8.94809689 380 -169
Hector Rios 34 755 8.9232 381 374
Paulo Vinícius Soares 31 917 8.90909091 382 535
Altair Antoninha Del Bel Cury 65 118 8.89127424 383 -265
Saeed Rahimi 39 555 8.88435374 384 171
Lj Jin 65 118 8.87150506 385 -267
Luis Felipe Schneider 33 809 8.8707483 386 423
Kim A Brogden 56 196 8.85106383 387 -191
Ashraf Fouad 58 165 8.83755102 388 -223
Jin Woo Park 42 462 8.8125 389 73
Mark S Gilthorpe 52 253 8.80882353 390 -137
Zafer Cavit Çehreli 50 293 8.79777778 391 -98
João Eduardo Gomes Filho 47 350 8.78994083 392 -42
Gülnur Emingil 44 409 8.77810651 393 16
Susan Rittling 57 178 8.74241523 394 -216
Roberto Rotundo 36 669 8.70510397 395 274
Francesco Inchingolo 46 366 8.69824219 396 -30
Lars Rasmusson 42 462 8.68686869 397 65
Yoon Jeong Choi 33 809 8.66481995 398 411
Owen Addison 34 755 8.64172336 399 356
Mario Taba Junior 54 227 8.54584775 400 -173
Eduardo Bernabé 77 59 8.54277954 401 -342
Manoel Damião Sousa Neto 77 59 8.52059756 402 -343
Miguel Peñarrocha Diago 66 110 8.50623583 403 -293
Wander José Da Silva 33 809 8.49584488 404 405
Iris Do Céu Clara Costa 35 707 8.49433107 405 302
Hamed Mortazavi 31 917 8.4675 406 511
Frauke Müller 59 161 8.44408163 407 -246
Kelun Wang 42 462 8.41863905 408 54
Mauro Farella 51 276 8.41727367 409 -133
Heitor Marques Honório 37 618 8.41420118 410 208
Antonio Luiz Barbosa Pinheiro 53 236 8.4083045 411 -175
J Mark Thomason 55 211 8.4065097 412 -201
Leonardo Dos Santos Antunes 33 809 8.4 413 396
Graziela De Luca Canto 48 332 8.38763377 414 -82
Flares Baratto Filho 33 809 8.37618147 415 394
Abdul Samad Khan 31 917 8.375 416 501
Craig S Miller 56 196 8.36375 417 -221
W Keung Leung 56 196 8.3615917 418 -222
Rafael Scaf De Molon 30 973 8.34876543 419 554
Luis E Chávez De Paz 30 973 8.3161157 420 553
Karine Laura Cortellazzi 31 917 8.28395062 421 496
Dongxia Ye 36 669 8.2675 422 247
Angus Walls 57 178 8.2642998 423 -245
André Luiz Fraga Briso 38 583 8.2624 424 159
Thimios Mitsiadis 58 165 8.25 425 -260
Kotaro Maki 41 488 8.23305589 426 62
Juliano Pessan 37 618 8.23090278 427 191
Faruk Ayhan Başçiftçi 37 618 8.19097222 428 190
Marco Ferrari 116 8 8.17591499 429 -421
In Sung Yeo 36 669 8.13799622 430 239
Fernando Oliveira Costa 52 253 8.1349481 431 -178
Andreas Filippi 49 314 8.12764004 432 -118
John D Bartlett 55 211 8.10956903 433 -222
Cecilia Pedroso Turssi 38 583 8.06804734 434 149
Prasit Pavasant 48 332 8.0541103 435 -103
Cesar Arrais 35 707 8.0415879 436 271
Stavros Kiliaridis 70 85 8.03212374 437 -352
sheila cavalca cortelli 40 519 8.0032 438 81
Dwomoa Adu 65 118 7.99555556 439 -321
Gianluca Martino Tartaglia 48 332 7.96972656 440 -108
Giulio Rasperini 50 293 7.95775941 441 -148
Marcio De Moraes 39 555 7.95266272 442 113
Christian S Stohler 52 253 7.92820248 443 -190
David C Coleman 76 61 7.90878801 444 -383
Daniela Elena Costea 34 755 7.90289256 445 310
Kristine Deleon Pennell 34 755 7.89256198 446 309
Tariq Abduljabbar 40 519 7.89179548 447 72
Rogerio De Castilho Jacinto 33 809 7.8553719 448 361
Daniel Graf 39 555 7.84570313 449 106
Kyung Mi Woo 42 462 7.81688466 450 12
Mark S Wolff 40 519 7.78961601 451 68
Peter Parashos 43 432 7.77469388 452 -20
Marcelle Nascimento 31 917 7.76033058 453 464
Carlos Eduardo Da Silveira Bueno 45 389 7.74777778 454 -65
Inmaculada Tomas Carmona 45 389 7.74211248 455 -66
Olivier Huck 30 973 7.73469388 456 517
Hm Wong 41 488 7.73076923 457 31
Lewei Zhang 47 350 7.71626298 458 -108
Flávio Henrique Baggio Aguiar 40 519 7.70919067 459 60
Aline De Almeida Neves 35 707 7.69897959 460 247
Tommaso Castroflorio 38 583 7.6760355 461 122
Matthias Zehnder 60 151 7.67555556 462 -311
Fábio Renato Manzolli Leite 35 707 7.66942149 463 244
Naser Aslaminabad 30 973 7.65740741 464 509
Marcio Mateus Beloti 35 707 7.62326389 465 242
Kuo-Wei Chang 60 151 7.61061225 466 -315
Erika Benavides 30 973 7.6016 467 506
Wirley Gonçalves Assunção 42 462 7.60082305 468 -6
Saul Paiva 79 58 7.59323337 469 -411
Américo Bortolazzo Correr 34 755 7.56818182 470 285
Lars Bondemark 51 276 7.56738281 471 -195
Kannan Ranganathan 39 555 7.55648038 472 83
Belmiro Cavalcanti Do Egito Vasconcelos 41 488 7.55229592 473 15
George Eliades 66 110 7.54669839 474 -364
Rachel Badovinac Ramoni 39 555 7.53994083 475 80
Karim Fawzy El Sayed 30 973 7.5375 476 497
Mustafa Naseem 33 809 7.53061225 477 332
Argy Polychronopoulou 52 253 7.49011446 478 -225
Silmara Aparecida Milori Corona 42 462 7.47337278 479 -17
Jung Il Chae 33 809 7.46280992 480 329
Danyel Elias Da Cruz Perez 40 519 7.4408284 481 38
Carlo Maiorana 48 332 7.42367347 482 -150
Simone Grandini 43 432 7.41503906 483 -51
Alyne Simões Gonçalves 31 917 7.3933518 484 433
Alessandra Buhler Borges 37 618 7.3872 485 133
Peer Kämmerer 41 488 7.37860082 486 2
Mohamed Al Shabrawey 40 519 7.36686391 487 32
Ananda Dasanayake 42 462 7.35449219 488 -26
David L Gast 72 80 7.3392 489 -409
Paulo Henrique Dos Santos 36 669 7.33159722 490 179
Francisco C Groppo 45 389 7.31217482 491 -102
Annika Antonsson 35 707 7.312 492 215
Lars Bjørndal 42 462 7.3030303 493 -31
Anthony Damien Walmsley 61 142 7.27959548 494 -352
Athanassios Kyrgidis 41 488 7.25976563 495 -7
Ana Carolina Magalhães 57 178 7.25127831 496 -318
Delgado Ruiz Ra 33 809 7.22675737 497 312
Rafael Guerra Lund 34 755 7.19628099 498 257
Marco Salerno 41 488 7.18888889 499 -11
Yuelian Liu 33 809 7.1872 500 309
Marcia Martins Marques 52 253 7.18421053 501 -248
Tao Jiang 33 809 7.17881944 502 307
Juan J. Segura-Egea 51 276 7.17714286 503 -227
Gisele Maria Correr 35 707 7.15689981 504 203
Chaushu G 57 178 7.09934259 505 -327
Simon D Tran 46 366 7.08324662 506 -140
Vicente Castelo Branco Leitune 32 868 7.07936508 507 361
Edgard Graner 50 293 7.06795225 508 -215
Toru Yanagawa 42 462 7.05955679 509 -47
Jesus Alberto Hernandez Silva 39 555 7.03171191 510 45
Arndt Guentsch 32 868 7.03099174 511 357
Bassel Tarakji 31 917 7.01133787 512 405
Daniela Bazan Palioto 38 583 6.99408284 513 70
Gustafsson Anders 58 165 6.96055227 514 -349
Shuo Chen 48 332 6.9357195 515 -183
Shane N White 53 236 6.92330168 516 -280
José Roberto Pereira Lauris 51 276 6.89814815 517 -241
Xuebin Yang 41 488 6.89060642 518 -30
Zoe Marshman 40 519 6.85059172 519 0
Domenick Zero 70 85 6.82805269 520 -435
Gaviao M 53 236 6.82785467 521 -285
Haiter Neto F 49 314 6.80017301 522 -208
KY Anh Nguyen 31 917 6.79340278 523 394
Richard David Cannon 52 253 6.78254848 524 -271
Marcia Carneiro Valera 43 432 6.76444444 525 -93
Paulo Nelson Filho 43 432 6.74012856 526 -94
Jung Yul Cha 34 755 6.73662551 527 228
Savabi O 36 669 6.70699433 528 141
Kıvanç Kamburoğlu 36 669 6.70507545 529 140
Leonardo Ciocca 35 707 6.6875 530 177
Manabu Kanazawa 31 917 6.66540643 531 386
Lim Kwong Cheung 50 293 6.64353543 532 -239
Francesca Gori 30 973 6.62555556 533 440
Anastasios Kanatas 39 555 6.625 534 21
Paul Cooper 65 118 6.61979167 535 -417
Rui Figueiredo 40 519 6.61831153 536 -17
Conchita Martin 31 917 6.61593341 537 380
Chan Ho Park 30 973 6.59722222 538 435
Tae Geon Kwon 35 707 6.57193817 539 168
Luís Otávio Miranda Cota 35 707 6.55967078 540 167
Sérgio Vitorino Cardoso 30 973 6.535 541 432
Steven Brookes 43 432 6.49121094 542 -110
Doglas Cecchin 31 917 6.48 543 374
Khalid Almas 54 227 6.45567867 544 -317
有地榮一郎 56 196 6.44675788 545 -349
Giuseppe Alexandre Romito 34 755 6.44589774 546 209
Eduardo Piza Pellizzer 52 253 6.44390582 547 -294
A Jäger 57 178 6.44378346 548 -370
Neil Meredith 32 868 6.44259369 549 319
Raman Bedi 60 151 6.40079365 550 -399
Fernanda Salum 33 809 6.39886578 551 258
Francisco Montagner 32 868 6.3875 552 316
Frank Lippert 34 755 6.38541667 553 202
Edward Lynch 55 211 6.38375 554 -343
Carlos Rodriguez 55 211 6.3712 555 -344
Massimo De Sanctis 45 389 6.35042735 556 -167
Ki Beom Kim 33 809 6.34782609 557 252
Harald O Heymann 50 293 6.34074074 558 -265
José María Montiel-Company 37 618 6.3376 559 59
Lidiany Rodrigues 36 669 6.32780612 560 109
Pedro Bullon 53 236 6.30263158 561 -325
Paul Brunton 44 409 6.26660156 562 -153
Kathryn A Atchison 48 332 6.24722992 563 -231
Angray Kang 31 917 6.24375 564 353
Ewerton Garcia De Oliveira Mima 31 917 6.2244898 565 352
Charles Goodacre 64 126 6.21991542 566 -440
Shanon patel 56 196 6.2095971 567 -371
Renate Lux 47 350 6.20588235 568 -218
Kum Kee Yeon 50 293 6.1816609 569 -276
MS Duggal 51 276 6.16280864 570 -294
Sue Pavitt Nee Rider 45 389 6.13149244 571 -182
Javier Martín 31 917 6.12018141 572 345
Sandra Helena Penha De Oliveira 40 519 6.11755102 573 -54
Christos Boutsioukis 30 973 6.11538462 574 399
Marcelo Ferrarezi De Andrade 35 707 6.10939358 575 132
Serge Bouillaguet 44 409 6.09061225 576 -167
Mohammad Samiei 39 555 6.07317073 577 -22
Evandro Watanabe 33 809 6.06238185 578 231
Carlos Alberto Feldens 44 409 6.05877551 579 -170
Mônica Campos Serra 47 350 6.03703704 580 -230
Ana Cecília Corrêa Aranha 40 519 6.01530612 581 -62
Jean Christophe Farges 32 868 6.0059453 582 286
Young Kyung Kim 34 755 5.99852071 583 172
Marie Therese Flores 39 555 5.97902494 584 -29
Ronald W Wood 39 555 5.97485207 585 -30
Edmond Pow 34 755 5.9744898 586 169
Boaz Arzi 32 868 5.953125 587 281
Mohammad Khursheed Alam 43 432 5.938125 588 -156
Nadim Z Baba 32 868 5.912 589 279
David Penarrocha-Oltra 46 366 5.89142857 590 -224
Chris Deery 39 555 5.88521579 591 -36
Fawad Javed 64 126 5.87867814 592 -466
Claudio Marchetti 60 151 5.87061728 593 -442
Luís Eduardo Silva Soares 32 868 5.85950413 594 274
Enrico Gherlone 54 227 5.83875 595 -368
Daniel Torres-Lagares 46 366 5.82204082 596 -230
John Yoo 43 432 5.7943067 597 -165
Pia Lopez Jornet 49 314 5.79254931 598 -284
David G Gillam 40 519 5.77076125 599 -80
Guy Willems 73 75 5.76097394 600 -525
Masamichi Takami 高見正道 36 669 5.74530612 601 68
Marco Antonio Hungaro Duarte 75 66 5.7437518 602 -536
Elham S Abu Alhaija 34 755 5.72290809 603 152
Debora Barros Barbosa 32 868 5.71893491 604 264
Hakan Turkkahraman 33 809 5.69791667 605 204
Silvia Cristina Núñez 30 973 5.68861454 606 367
Keiji Moriyama 45 389 5.68132716 607 -218
José Fernando Castanha Henriques 55 211 5.67950617 608 -397
Paula Cristina Trevilatto 42 462 5.64565993 609 -147
Paulo Conti 54 227 5.633125 610 -383
Rubens Spin Neto 39 555 5.6313912 611 -56
Hae-Hyoung Lee 38 583 5.62117347 612 -29
Her Hsiung Huang 41 488 5.60666667 613 -125
Tonino Traini 38 583 5.60145682 614 -31
Livia Ma Tenuta 42 462 5.6 615 -153
Paul Lam Corstjens 52 253 5.55161078 616 -363
Masae Kuboniwa 40 519 5.53864447 617 -98
Carlos F Santos 43 432 5.52066116 618 -186
Abel García García 54 227 5.51108033 619 -392
Renata Cunha Matheus Rodrigues Garcia 36 669 5.48214286 620 49
Shohei Kasugai 52 253 5.47888162 621 -368
Patricia Moreira De Freitas 33 809 5.47569444 622 187
Jesus Torres Garcia-Denche 33 809 5.4688 623 186
Joseph Wedekind 38 583 5.45888889 624 -41
Velasco-Ortega E 38 583 5.44238281 625 -42
Bernhard Ganss 33 809 5.44117647 626 183
Galen B Schneider 33 809 5.42333333 627 182
Roberts Thomson K 39 555 5.41308594 628 -73
Dorina Lauritano 37 618 5.40894901 629 -11
Shinoda Masamichi 37 618 5.4 630 -12
Roberto Ruggiero Braga 60 151 5.39238166 631 -480
wael sabbah 35 707 5.38293444 632 75
Abdalla Abdal hay 34 755 5.3824 633 122
Carlos Nemcovsky 47 350 5.37345679 634 -284
Jacks Jorge 34 755 5.37037037 635 120
Leticia Helena Theodoro 36 669 5.36479592 636 33
Marcelo Ferraz Mesquita 41 488 5.35691988 637 -149
Keerthilatha M Pai 32 868 5.33928571 638 230
Rodrigo Vivan 38 583 5.3293698 639 -56
Teresa A Dolan 31 917 5.31542969 640 277
Maryam Amin 31 917 5.30371901 641 276
Wanninayake Mudiyanselage Tilakaratne 42 462 5.30040816 642 -180
Tarek El Bialy 35 707 5.27514793 643 64
Patricia McGettigan 34 755 5.2700831 644 111
Gisele Faria 38 583 5.23593964 645 -62
James Kit Hon Tsoi 34 755 5.1843044 646 109
Celine M Levesque 32 868 5.18002081 647 221
Joni Augusto Cirelli 46 366 5.16 648 -282
Rory M Watt 33 809 5.13717421 649 160
Cynthia Pine 46 366 5.13492064 650 -284
Reuben Kim 37 618 5.13017752 651 -33
Figen Seymen 40 519 5.12722949 652 -133
Carla Castiglia Gonzaga 34 755 5.0880102 653 102
Cristiane Duque 32 868 5.08159722 654 214
Francesca Angiero 31 917 5.05671078 655 262
Regina Puppin Rontani 46 366 5.04528853 656 -290
Elcio Marcantonio Junior 53 236 5.019375 657 -421
Richard B Price 55 211 5.018125 658 -447
Ana Paula Vieira Colombo 43 432 5.01697531 659 -227
Souichi Yanamoto 34 755 5.01234568 660 95
Mahmoud Al Omiri 37 618 5.00292969 661 -43
Leandro Silva Marques 46 366 5.00146092 662 -296
Yong Dae Kwon 32 868 4.96449704 663 205
Warwick Duncan 33 809 4.94040816 664 145
Harvey A Schenkein 56 196 4.92664931 665 -469
Roy George 31 917 4.92318244 666 251
Antonio Carrassi 51 276 4.91802469 667 -391
RP Allaker 41 488 4.88340274 668 -180
Sıddık Malkoç 31 917 4.87847222 669 248
Jose Luis Gutierrez Perez 69 89 4.87694637 670 -581
Oslei Paes De Almeida 60 151 4.8638546 671 -520
Mubassar Fida 31 917 4.84548611 672 245
Lauren L Patton 50 293 4.8361678 673 -380
Maria Da Gloria Chiarello De Mattos 35 707 4.82304527 674 33
Thais Marchini Oliveira 51 276 4.80584391 675 -399
Sema Hakkı 33 809 4.72189349 676 133
Luciana Shaddox 32 868 4.72048611 677 191
Erick Souza 43 432 4.71808999 678 -246
Rubens Ferreira De Albuquerque Junior 35 707 4.71467764 679 28
Sajeda Meghji 49 314 4.68707483 680 -366
Jane A Weintraub 48 332 4.68679717 681 -349
Asbjørn Jokstad 43 432 4.68213296 682 -250
Vanessa Soares Lara 36 669 4.66836735 683 -14
Yanqi Yang 30 973 4.66145833 684 289
Mauro Henrique Abreu 47 350 4.65875 685 -335
Rainer Haak 36 669 4.63971463 686 -17
Nada Farouk Ahmed Atta 41 488 4.62456747 687 -199
Pertti Pirttiniemi 43 432 4.61632653 688 -256
Mohamed Ibrahim Abu Hassan 35 707 4.61555556 689 18
Carlos Gonzalez Cabezas 39 555 4.58300781 690 -135
Yasemin Özkan 41 488 4.56657484 691 -203
Youssef Haïkel 49 314 4.54875283 692 -378
Shinn Jyh Ding 49 314 4.54565376 693 -379
Carlos José Soares 66 110 4.52942925 694 -584
Rosnah Zain 48 332 4.51247166 695 -363
Thomas Gh Diekwisch 40 519 4.50612245 696 -177
Léa Assed Bezerra Da Silva 67 101 4.50502729 697 -596
Moschos A Papadopoulos 41 488 4.50231482 698 -210
Linda Wang 36 669 4.48870392 699 -30
Flávio Domingues Das Neves 30 973 4.48596939 700 273
Amaury Pozos Guillén 38 583 4.48163265 701 -118
Sérgio Scombatti De Souza 52 253 4.47593294 702 -449
Youn Hee Choi 30 973 4.4544 703 270
Lynne Bingle 34 755 4.44444444 704 51
John Brunski 45 389 4.42824808 705 -316
Ahmed Samy 32 868 4.40587695 706 162
Viviane Colares 30 973 4.39780521 707 266
Nobuhiro Hanada 49 314 4.39256198 708 -394
Toru Nikaido 58 165 4.38525614 709 -544
Junia Serra Negra 35 707 4.36222222 710 -3
Paulo Floriani Kramer 37 618 4.35380623 711 -93
Helena De Freitas Oliveira Paranhos 46 366 4.3355102 712 -346
Ender Kazazoğlu 35 707 4.32897959 713 -6
Carlos De Paula Eduardo 61 142 4.32618343 714 -572
Halil Erhan Fıratlı 41 488 4.32163265 715 -227
Kristiina Heikinheimo 37 618 4.304405 716 -98
Hs Brand 47 350 4.29 717 -367
Clay Walker 62 134 4.26905456 718 -584
Marco Cune 45 389 4.25396825 719 -330
June Nunn 51 276 4.24888889 720 -444
Brian W Darvell 55 211 4.24563902 721 -510
Liviu Feller 42 462 4.23822715 722 -260
Ana Flavia Granville Garcia 40 519 4.21767714 723 -204
Fabio Daumas Nunes 44 409 4.21121884 724 -315
Hiroshi Ogawa 34 755 4.19492503 725 30
Simone Cecilio Hallak Regalo 35 707 4.19335938 726 -19
Maria Aparecida Andrade Moreira Machado 49 314 4.18222222 727 -413
Clovis Monteiro Bramante 67 101 4.17266851 728 -627
Petros Koidis 43 432 4.16274238 729 -297
Pascal Van Lieshout 42 462 4.15673469 730 -268
Arthur Belém Novaes Júnior 62 134 4.1533801 731 -597
Fabiana Mantovani Gomes França 30 973 4.11796982 732 241
James K Hartsfield Jr 43 432 4.11 733 -301
Norman Tinanoff 53 236 4.10724852 734 -498
Timothy G Bromage 50 293 4.08109504 735 -442
Vivek Shetty 39 555 4.08108108 736 -181
Jae Gyu Jeon 30 973 4.08093279 737 236
Debora C Matthews 31 917 4.07180021 738 179
Ravindra Nanda 59 161 4.06710744 739 -578
Keson Tan 36 669 4.043125 740 -71
Baek Il Kim 31 917 4.02888889 741 176
S Jeffrey Dixon 55 211 4.01124531 742 -531
Saeed Asgary 58 165 3.96570645 743 -578
Luciana Corrêa 31 917 3.960761 744 173
Darnell Kaigler 34 755 3.95221607 745 10
Titus Schleyer, Dmd 36 669 3.94824219 746 -77
Marcio Ajudarte Lopes 54 227 3.93621399 747 -520
Branca Heloisa Oliveira 34 755 3.9220679 748 7
Bruce Pihlstrom 42 462 3.91603306 749 -287
Luciano Cintra 45 389 3.89875082 750 -361
Heng Li Huang 44 409 3.89506173 751 -342
Giuseppe Siciliani 45 389 3.891875 752 -363
Jan Eirik Ellingsen 42 462 3.89049587 753 -291
Carlos Henrique Ribeiro Camargo 34 755 3.89013841 754 1
Bahar Eren Kuru 30 973 3.87327824 755 218
Kenji Fueki 32 868 3.87158145 756 112
Martine Hennequin 43 432 3.84072022 757 -325
Nelson Rfa Silva 48 332 3.84027778 758 -426
Gerry Linden 53 236 3.83798417 759 -523
Chen Feng 37 618 3.80401235 760 -142
James C Kulild 37 618 3.78612245 761 -143
William F Vann Jr 49 314 3.77777778 762 -448
Yan-Fang Ren 任延方 37 618 3.77282688 763 -145
Rafael Francisco Lia Mondelli 40 519 3.76186998 764 -245
JE Martin 58 165 3.75754423 765 -600
Gülfem Ergün 32 868 3.73979592 766 102
Kevin O'Brien 57 178 3.7368595 767 -589
Andrea Pilloni 34 755 3.70847751 768 -13
Francisco Javier Rodríguez Lozano 34 755 3.70703125 769 -14
Rosemary Shinkai 32 868 3.69140625 770 98
Cláudia Helena Lovato Da Silva 40 519 3.69125521 771 -252
M Ajmal 51 276 3.65754438 772 -496
Rosa Helena Miranda Grande 35 707 3.6412037 773 -66
Jennifer Yvette Webster 33 809 3.63666667 774 35
Giuseppe Pizzo 32 868 3.625 775 93
Guilherme Carpena Lopes 33 809 3.60986159 776 33
Renty B Franklin 56 196 3.60768176 777 -581
Won-Yoon Chung 40 519 3.57561728 778 -259
Frank J Verstraete 42 462 3.57525283 779 -317
Liran Levin 67 101 3.56542969 780 -679
Vinicius Pedrazzi 33 809 3.56222222 781 28
Flavio Uribe 32 868 3.52444444 782 86
Susana Maria Werner Samuel 36 669 3.52148438 783 -114
Zohaib Akram 38 583 3.51953125 784 -201
José Carlos Pereira 50 293 3.50694444 785 -492
Marita Rohr Inglehart 47 350 3.50189036 786 -436
Yuichi Kitasako 35 707 3.49902344 787 -80
Brian O Connell 37 618 3.484375 788 -170
Louisa K James 30 973 3.4799169 789 184
Mike Hubbard 37 618 3.470625 790 -172
Shin Jae Lee 36 669 3.4644898 791 -122
David Normando 33 809 3.4522449 792 17
Gabriele Cervino 48 332 3.441875 793 -461
Mark Cross 52 253 3.4372428 794 -541
Cleidiel Lemos 37 618 3.43364198 795 -177
Montserrat Mercadé Bellido 35 707 3.43346939 796 -89
graham ogden 42 462 3.43186962 797 -335
Michele Cassetta 32 868 3.4140625 798 70
Young Guk Park 36 669 3.40657439 799 -130
Janete A Anselmo Franci 45 389 3.4053288 800 -411
JT Wright 55 211 3.38868343 801 -590
José López-López 51 276 3.38203018 802 -526
Rafiqul Islam 56 196 3.37093048 803 -607
Manoela Domingues Martins 48 332 3.36935764 804 -472
Halboub Esam 32 868 3.36816406 805 63
Erik Dabelsteen 52 253 3.36528926 806 -553
David Maxwell 44 409 3.36484798 807 -398
Stjepan Spalj 30 973 3.36444444 808 165
Raquel Assed Bezerra Da Silva 52 253 3.35420856 809 -556
Marcantonio Rac 34 755 3.34688581 810 -55
Karen Cherubini 36 669 3.34122449 811 -142
Нигман Хабилoв 35 707 3.33818939 812 -105
Suzana Machado De Sousa 40 519 3.33372992 813 -294
Lih Jyh Fuh 36 669 3.31888889 814 -145
Gunilla Klingberg 37 618 3.30518519 815 -197
L Shannon Holliday 36 669 3.30478395 816 -147
Ruth Lipman 35 707 3.29583559 817 -110
Ricardo Guimarães Fischer 37 618 3.29501385 818 -200
Jose Antonio Poli De Figueiredo 43 432 3.28880476 819 -387
Marcela Hernández R 38 583 3.27944215 820 -237
Roberto Farina 37 618 3.27700831 821 -203
Lesley Bergmeier 35 707 3.27613412 822 -115
Luiz Renato Paranhos 34 755 3.26515705 823 -68
Mark Latta 49 314 3.2594518 824 -510
Francisco Wanderley Garcia Paula Silva 33 809 3.24408163 825 -16
Jj De Soet 46 366 3.23753086 826 -460
Manal A Awad 35 707 3.20616319 827 -120
Hong Tzong Yau 36 669 3.20524691 828 -159
David Manton 58 165 3.19739645 829 -664
Gerald McKenna 32 868 3.19375574 830 38
Ana Lucia Machado 55 211 3.16993464 831 -620
Joel M White 40 519 3.16735537 832 -313
Osama Abu Hammad 30 973 3.16210938 833 140
Luigi Checchi 36 669 3.15929705 834 -165
Paul Casamassimo 41 488 3.13660975 835 -347
Maria Do Carmo Matias Freire 30 973 3.1221304 836 137
Giulio Gavini 36 669 3.11496914 837 -168
Han Cheol Choe 37 618 3.10734072 838 -220
Milton Carlos Kuga 32 868 3.10416667 839 29
Adriano Loyola 37 618 3.10262346 840 -222
Tamar Brosh 37 618 3.1025 841 -223
Demetrios J. Halazonetis, Δημήτρης Ι. Χαλαζωνίτης 36 669 3.078238 842 -173
Guilherme Elias Pessanha Henriques 32 868 3.06139438 843 25
Eugenio Garcia 37 618 3.05305652 844 -226
Volnei Garrafa 47 350 3.05246914 845 -495
William R Abrams 60 151 3.04998564 846 -695
Hans Peter Müller 41 488 3.04975663 847 -359
Marcio Fernando De Moraes Grisi 39 555 3.04705215 848 -293
Cinzia Maspero 32 868 3.03027344 849 19
Ahmad S Al Hiyasat 30 973 3.02441406 850 123
Eino Honkala 44 409 3.01807851 851 -442
Michel Dard 53 236 3.01748971 852 -616
Leonardo Marchini 33 809 2.99755102 853 -44
Umberto Romeo 36 669 2.99707816 854 -185
Decio Dos Santos Pinto Jr 38 583 2.94875346 855 -272
Kostas Tsiklakis 32 868 2.939375 856 12
Sevil Çiftçi Gürgan 37 618 2.93628809 857 -239
Luigi Gallo 38 583 2.93359632 858 -275
Yumiko Nagao 31 917 2.90796202 859 58
Wael Att 56 196 2.90663602 860 -664
Michael Botelho 37 618 2.89473684 861 -243
Janicke L Jensen 34 755 2.8884083 862 -107
Giuseppe Corinaldesi 34 755 2.8866782 863 -108
Wilson Roberto Poi 32 868 2.87716263 864 4
Gaetane Leloup 37 618 2.84890427 865 -247
Hans Zoellner 31 917 2.84734694 866 51
Sandra R. Torres 33 809 2.84556787 867 -58
Takafumi Kato 44 409 2.83844953 868 -459
Anura Ariyawardana 30 973 2.83345508 869 104
Jostein Grytten 38 583 2.83102493 870 -287
S Aída Borges Yáñez 35 707 2.82122449 871 -164
Claudio Poggio 44 409 2.81689342 872 -463
Maria Da Luz Rosario De Sousa 45 389 2.80133278 873 -484
Anne Maguire 33 809 2.79766253 874 -65
Ayşen Yarat 33 809 2.78472222 875 -66
John T Grbic 37 618 2.77664399 876 -258
Nikos Kotsanos 31 917 2.73553719 877 40
Alexandre Luiz Souto Borges 33 809 2.73372781 878 -69
Nelly Molina Frechero 33 809 2.70890725 879 -70
Arjen Van Wijk 40 519 2.70375 880 -361
Tanaka Om 33 809 2.68005844 882 -73
Rebecca Harris 34 755 2.67180342 883 -128
Tayfun Akoz 32 868 2.6712963 884 -16
Tetsu Takahashi 57 178 2.6689149 885 -707
Fusun Ozer 32 868 2.65142857 886 -18
Eduardo Colombari 37 618 2.65135803 887 -269
Tania Mary Cestari 31 917 2.64941406 888 29
Raphael Pilo 37 618 2.64845863 889 -271
Luis Roberto Marcondes Martins 41 488 2.62665406 890 -402
Lelia Batista De Souza 37 618 2.62345041 891 -273
Özkan Miloğlu 32 868 2.5683391 892 -24
Åke Tegelberg 31 917 2.5449233 893 24
Pelin Güneri 33 809 2.52739226 894 -85
Neil Hunter 42 462 2.52513646 895 -433
Peter James Thomson 43 432 2.50865052 896 -464
Luciane Rezende Costa 33 809 2.50694444 897 -88
Cristiane Baccin Bendo 30 973 2.48302469 898 75
Eduardo Nunes 30 973 2.47368421 899 74
Giulio Alessandri Bonetti 34 755 2.44049967 900 -145
Susan Friedman 33 809 2.4272 901 -92
Cristiane Yumi Koga Ito 41 488 2.42315702 902 -414
Idelmo Rangel Garcia Junior 37 618 2.42130882 903 -285
Fernanda Garcia 31 917 2.38811728 904 13
Vivek Aggarwal 31 917 2.38365651 905 12
Ricardo Faria Ribeiro 40 519 2.37996219 906 -387
Vicente A Torres 31 917 2.379375 907 10
José Flávio Affonso Almeida 40 519 2.35281065 908 -389
Marco Colombo 38 583 2.34349031 909 -326
Roberta Tarkany Basting 40 519 2.34060651 910 -391
Sakellari Dimitra 31 917 2.32175926 911 6
Ahed Al Wahadni 31 917 2.3082542 912 5
Elismauro Francisco Mendonca 32 868 2.296875 913 -45
Yun Sook Kim 33 809 2.29235537 914 -105
Faleh Sawair 32 868 2.29155125 915 -47
Jefferson Pereira 35 707 2.28994083 916 -209
Simonides Consani 47 350 2.24553571 917 -567
Che Husna Azhari 33 809 2.23800132 918 -109
Ayman Ahmed 39 555 2.23593964 919 -364
Rafael Leonardo Xediek Consani 37 618 2.23140496 920 -302
Farzaneh Ahrari 35 707 2.21893491 921 -214
Alvaro Borges 30 973 2.21814404 922 51
Willie Van Heerden 30 973 2.20679012 923 50
Gao Xiaoli 30 973 2.20637119 924 49
Farzaneh Agha-Hosseini 31 917 2.19576333 925 -8
Ourania Nicolatou Galitis 31 917 2.18383743 926 -9
Lindsay Richards 42 462 2.1724 927 -465
Valdir Gouveia Garcia 41 488 2.16451479 928 -440
Keiichiro Nishida 44 409 2.15758695 929 -520
Arnaldo Pinzan 35 707 2.14074074 930 -223
Stefan Ruhl 32 868 2.12563915 931 -63
Philip Benson 40 519 2.11362608 932 -413
Larry Bellinger Regents 38 583 2.11226451 933 -350
Luiz Antonio Salata 31 917 2.07231556 934 -17
Maria Fidela Navarro 43 432 2.07015306 935 -503
Renata Pascotto 31 917 2.06574142 936 -19
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Alan Roger Santos Silva 42 462 2.01388889 938 -476
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Igor Yu. Lebedenko 30 973 2.00730488 940 33
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José Roberto Rodrigues 36 669 1.96347559 943 -274
Cláudio Antonio Talge Carvalho 33 809 1.95657347 944 -135
Marcelo Gp Cavalcanti 40 519 1.95626822 945 -426
Kazuyuki Ishihara 58 165 1.95580716 946 -781
Jonas Rodrigues 33 809 1.92861006 947 -138
Flávio Alves 32 868 1.91295294 948 -80
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Maureen Stone 46 366 1.87704712 951 -585
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Giselle Maria Marchi 33 809 1.86238117 953 -144
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Esa Klemetti 30 973 1.77316417 957 16
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Ramon Eduardo Fuentes Fernandez 33 809 1.68346522 963 -154
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Goran Pichler 31 917 1.64201183 965 -48
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Joao Batista Cesar Neto 33 809 1.59978367 968 -159
Alexandra Sklavounou 31 917 1.59653867 969 -52
Takashi Ono 42 462 1.59510204 970 -508
John W. Nicholson 53 236 1.55624662 971 -735
Claudia Magalhães 31 917 1.554375 972 -55
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Frank Catalanotto 38 583 1.51849112 975 -392
Silva RF 33 809 1.51603306 976 -167
Rodrigo Othavio Assuncao Souza 32 868 1.50390625 977 -109
Ríos-Santos, JV 37 618 1.47002551 978 -360
Kazuyoshi Baba 51 276 1.40805396 979 -703
Antonio Carlos Pereira 52 253 1.40359654 980 -727
Taku Fujiwara 42 462 1.38548753 981 -519
Gary R Goldstein 33 809 1.38056248 982 -173
Idomeo Bonetti Filho 30 973 1.369375 983 -10
Lucio Souza Gonçalves 31 917 1.32819659 984 -67
Ronald G Craig 35 707 1.32713499 985 -278
Koji Kamagata 40 519 1.32 986 -467
Suarez Garcia Maria Jesus 32 868 1.1492767 987 -119
Il Sung Jang 30 973 1.14340638 988 -15
José Mondelli 33 809 1.14120095 989 -180
Vivien Sakai 37 618 1.14111111 990 -372
Michael W Roberts 34 755 1.12851197 991 -236
Efthymia Kitraki 30 973 1.10841984 992 -19
Mehrdad Lotfi 38 583 1.09738581 993 -410
David Johnsen 30 973 1.08919646 994 -21
Donald A Curtis 37 618 1.08833333 995 -377
David A Nash 30 973 1.07727797 996 -23
Clemencia M Vargas 30 973 1.0625 997 -24
Chukwudi Onyeaso 30 973 1.02191465 998 -25
Eduardo Passos Rocha 34 755 1.00045914 999 -244
Alma Rosa Rojas Garcia 34 755 0.9693287 1000 -245
Lucas Garcia 34 755 0.96522993 1001 -246
Tomohiro Yamada 33 809 0.94147987 1002 -193
Shinichi Abe 34 755 0.92534722 1003 -248
Javier Enrique Botero Torres 30 973 0.9217128 1004 -31
Paul Anderson 36 669 0.87841797 1005 -336
Eric Everett 35 707 0.86958154 1006 -299
Manoel Santana Filho 33 809 0.85058594 1007 -198
Jorge Esquiche León 31 917 0.84310019 1008 -91
Dhoom SIngh Mehta 35 707 0.83774539 1009 -302
WP Holbrook 41 488 0.79421433 1010 -522
Wei Shao Lin 30 973 0.73797366 1011 -38
Qian Wang 30 973 0.71474913 1012 -39
Éricka Janine Dantas Da Silveira 30 973 0.70588235 1013 -40
Allyson Nogueira Moreira 32 868 0.70361578 1014 -146
Marcelo Suzuki 42 462 0.69799227 1015 -553
Alessandro Antonio Costa Pereira 34 755 0.67471591 1016 -261
Carlos Rocha Gomes Torres 43 432 0.67310774 1017 -585
Yasumasa KATO 33 809 0.64812612 1018 -209
Aline Evangelista De Souza Gabriel 30 973 0.60640138 1019 -46
Evanthia Lalla 52 253 0.21863566 1020 -767
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