ChatGPT in the literature: A bibliometric analysis
Journal of Information Science, 2026 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1177/01655515261476215
- Dergi Adı: Journal of Information Science
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, IBZ Online, Periodicals Index Online, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, EBSCO Education Source, Education Abstracts, Index Islamicus, Information Science and Technology Abstracts, INSPEC, Library Literature and Information Science, Library, Information Science & Technology Abstracts (LISTA), Information Science & Technology Abstracts (LISTA), Academic Search Ultimate (EBSCO), Social Science Premium Collection (ProQuest), Business Source Ultimate (EBSCO), Education Source Ultimate (EBSCO), Library & Information Science Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: bibliometrics, ChatGPT, human–artificial intelligence collaboration, natural language processing, systematic literature review
- Akdeniz Üniversitesi Adresli: Evet
Özet
The scientific literature surrounding the pioneering tool, Chat GPT, is vast and rapidly growing; however, the scope of research areas remains limited. The aim of the study is to conduct a bibliometric analysis to identify publications related to Chat GPT. Using the search terms ‘Chat GPT’ and ‘Chat GPT’, all publications related to Chat GPT from the Web of Science database were extracted. A descriptive analysis of 4177 publications from January 2021 to August 2024 was conducted by focusing on publication trends, influential authors, and research themes. A total of 4177 Chat GPT-related publications were published in 1697 different sources. The analysis shows that the majority of research concentrated in the fields of health sciences and applied sciences, with significant contributions from the United States, China, and Singapore. Notably, the most productive journal is the CUREUS Journal of Medical Science, while collaboration between authors is mainly found in developed countries. The study highlights key trends in Chat GPT–related publications, with the literature most frequently focusing on the fields of health sciences and applied sciences, while social sciences are less represented. This indicates a need for broader exploration of Chat GPT’s impact across various disciplines to fully understand its potential and implications.