Introduction: The EEGLAB is one of the main and primary software for designing and analyzing experiments with electroencephalography datasets. It has been used globally for more than 20 years. The aim of this bibliometric research is to study the ASIA-PACIFIC and Arabian states regions with 80 countries and territories and the way they used EEGLAB and published articles in SCOPUS and Web of Science (WoS) Indexed Sources. Methods : The bibliometrix package in R was used to analyze all SCOPUS and WoS indexes- sources citations of EEGLAB's main article from the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) with 5 subregions and 58 countries and territories and United Nations Economic and Social Commission for West Asia (ESCWA) or Arab States with 22 countries and territories until 03/28/2024. Results: There are 22,298 Google Scholar citations for EEGLAB software, meanwhile, this number is reduced to 14,958 (≈ 67.1%) citations in the WoS and 15,827 (≈ 70.1%) citations in the Scopus, respectively. The Bibliometric indices, Lotka's law coefficient estimation, core sources based on Bradford's law, the most globally cited documents in all time, after 2020 and 2022, Co-Occurrence Network of WoS subject, Co-Citation Network Papers and Historiography are presented. Most analyses have been grouped by database, regions, and subregions. The appendix includes further analysis for example country-based analysis for China, Japan, India, Russian Federation and Iran. Conclusions: About 35% of all WoS documents and 41% of authors came from these two regions (ESCAP and ESCWA) while the average citation per doc in the world is doubled these two regions.