Academic Journal
A Bibliometric Examination of EEGLAB Publications in Scopus and WoS Indexed Sources: A 20-Year Study of Asia-Pacific and Arabian Countries.
| Τίτλος: | A Bibliometric Examination of EEGLAB Publications in Scopus and WoS Indexed Sources: A 20-Year Study of Asia-Pacific and Arabian Countries. |
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| Συγγραφείς: | Fayaz M; Department of Health and Social Medicine, School of Medicine, Shahed University, Tehran, Iran., Azeez Sayel N; College of Business Informatics, University of Information Technology and Communications (UOITC), Baghdad, Iraq. |
| Πηγή: | Clinical EEG and neuroscience [Clin EEG Neurosci] 2026 Jul; Vol. 57 (4), pp. 329-340. Date of Electronic Publication: 2026 Apr 24. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Sage Publications Country of Publication: United States NLM ID: 101213033 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2169-5202 (Electronic) Linking ISSN: 15500594 NLM ISO Abbreviation: Clin EEG Neurosci Subsets: MEDLINE |
| Imprint Name(s): | Publication: Thoudand Oaks, CA : Sage Publications Original Publication: Wheaton, IL : EEG and Clinical Neuroscience Society, c2004- |
| Ιατρικοί όροι (MeSH): | Bibliometrics* , Electroencephalography* , Software*, Humans ; Asia |
| Περίληψη: | IntroductionEEGLAB is a widely used software for analyzing electroencephalography (EEG) datasets, with over 20 years of global use. This bibliometric study investigates EEGLAB publications in the Asia-Pacific and Arabian regions, focusing on Scopus and Web of Science (WoS) indexed sources, to understand regional contributions and trends in EEG research across 80 countries and territories.MethodsBibliometric analysis was conducted using the Bibliometrix package in R, focusing on citations from WoS and Scopus indexed sources. The study covers data from the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) and West Asia (ESCWA), including 58 ESCAP countries and 22 ESCWA countries, with data collected until March 2024. Bibliometric indices such as Lotka's law, Bradford's law, co-citation networks, and in-depth historiography were analyzed to explore global and regional trends.ResultsEEGLAB's main article has received 22 298 citations on Google Scholar, with 14 958 (67.1%) citations in WoS and 15 827 (70.1%) in Scopus. The top ten WoS countries by citations are China, Australia, Japan, Republic of Korea, India, Iran, Russian Federation, Singapore, New Zealand, and Malaysia/Türkiye. Recent research themes include emotion recognition, driver distraction detection, deep learning, schizophrenia detection, and the cognitive impacts of COVID-19. China and the USA are the leading international collaborators.ConclusionsApproximately 35% of WoS documents and 41% of authors are from the ESCAP and ESCWA regions. The average citation per document in these regions is half of the global average. The study highlights EEGLAB's growing role in EEG research and collaborative trends. |
| Competing Interests: | Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. |
| Contributed Indexing: | Keywords: Arabian states; Asia-Pacific; EEGLAB; Scopus; Web of Science; bibliometric analysis; functional data analysis |
| Entry Date(s): | Date Created: 20260424 Date Completed: 20260612 Latest Revision: 20260612 |
| Update Code: | 20260613 |
| DOI: | 10.1177/15500594261428714 |
| PMID: | 42029425 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2169-5202 |
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| DOI: | 10.1177/15500594261428714 |