Vol. 20 / 2025 – International Conference on Virtual Learning
Bibliometric analysis of ChatGPT based on Scopus data: Global research trends (2022-2024)
Kevin MEJÍA RIVERA, Mirna RIVERA GARCÍA, Luis REYES FLORES
The emergence of ChatGPT has reshaped academia and research, generating both enthusiasm and concerns. While ethical challenges persist, a growing movement advocates for its integration and the adoption of best practices. Objective: This study conducts a bibliometric analysis of scientific publications on ChatGPT indexed in Scopus (2022–2024) to map trends and characterize the academic output related to this technology. Methods: A systematic bibliometric analysis was performed following the PRISMA protocol. Data were extracted from Scopus, identifying 437 relevant publications. A statistical analysis using VOSviewer enabled the identification of 13 clusters and 32 nodes. Results: The analysis revealed that the majority of publications originated from the United States (24.80%), India (11.17%), and China (11.17%). The predominant publication types were journal articles (45.3%) and conference papers (36.8%). The most active research fields include Computer Science (27.7%), Medicine (14.5%), and Social Sciences (13.2%). Conclusions: Findings underscore the increasing prominence of ChatGPT as an interdisciplinary research topic. Key areas of focus include: the evolution of language models, response accuracy, impact on education and healthcare, and challenges and opportunities that AI presents in academic research.
Keywords:
Scopus,
ChatGPT,
Bibliometric Analysis,
Scientific Production
CITE THIS PAPER AS:
Kevin MEJÍA RIVERA,
Mirna RIVERA GARCÍA,
Luis REYES FLORES,
"Bibliometric analysis of ChatGPT based on Scopus data: Global research trends (2022-2024)",
International Conference on Virtual Learning,
ISSN 2971-9291, ISSN-L 1844-8933,
vol. 20,
pp. 267-278,
2025.
https://doi.org/10.58503/icvl-v20y202522