Bibliometric Analysis of Global Research Trends in the ChatGPT Literature
Author(s): Murugan Chinnaraj & Jayatharani Haridass
Abstract: Recent years have seen an explosion of research in Natural Language Processing (NLP). Among the most popular recent innovations is OpenAI's ChatGPT. Bibliometric analyses of ChatGPT's scholarly contributions are becoming increasingly important as it continues to develop. This paper presents a bibliometric overview of 16,862 scholarly works on ChatGPT, spanning its inception through 2025. It analyses research productivity, author visibility, citations, keyword co-occurrence, and journal and author productivity. Data were collected from the Web of Science Core Collection and analyzed using Microsoft Excel and VOSviewer.
Keywords - ChatGPT, bibliometrics, artificial intelligence, Web of Science, Bradford's Law, VOSviewer.
DOI URL: https://doi.org/10.26761/ijrls.12.3.2026.2159
Cite This Article As: Chinnaraj, M. & Haridass, J. (2026) Bibliometric Analysis of Global Research Trends in the ChatGPT Literature. International Journal of Research in Library Science (IJRLS), 12(3) 212-229 www.ijrls.in
Copyright © 2026 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.
Paper ID: IJRLS-2159 Page: 212-229 Publication Date: 02 September 2026