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IEEE Terms Analysis of 2019–2024 IEEE Xplore Data on the Topic of Energy Systems
Version 1
: Received: 17 May 2024 / Approved: 20 May 2024 / Online: 20 May 2024 (13:11:46 CEST)
How to cite: Chigarev, B. IEEE Terms Analysis of 2019–2024 IEEE Xplore Data on the Topic of Energy Systems. Preprints 2024, 2024051282. https://doi.org/10.20944/preprints202405.1282.v1 Chigarev, B. IEEE Terms Analysis of 2019–2024 IEEE Xplore Data on the Topic of Energy Systems. Preprints 2024, 2024051282. https://doi.org/10.20944/preprints202405.1282.v1
Abstract
Relevance of the subject. Keyword selection is critical to finding relevant literature and requires justification for querying abstract databases and other sources to ensure accuracy and completeness. The topic of Energy Systems is of great importance due to the introduction of renewable energy sources, modern control methods, and complex energy systems during the energy transition. The aim of this study. The goal of this paper was to identify keywords that would be useful to subject matter experts when collecting literature on a particular topic, based on entries in the IEEE Terms field. Data. Bibliometric data were exported from the IEEE Xplore platform in the following order: for 2019-2023, 2000 records sorted by relevance, for 2024, 1680 records current as of April 11, 2024. Analytical methods applied and software used. VOSviewer, Scimago Graphica implementing the Clauset-Newman-Moore algorithm and agglomerative hierarchical clustering method implemented in Multidendrograms. Results. The main issues of the Energy Systems topic are presented in tabular and graphical formats. The fpgrowth utility offers flexible data preparation options, which makes it worthwhile to conduct a separate study to analyze the score of co-occurrence terms given by its algorithm.
Keywords
IEEE Terms; IEEE Xplore; energy systems; VOSviewer; Scimago Graphica; fpgrowth
Subject
Engineering, Energy and Fuel Technology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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