Aug 2026· Journal of information science· 0 citations· 103 references
TL;DR
There is a need for broader exploration of Chat GPT’s impact across various disciplines to fully understand its potential and implications, with the literature most frequently focusing on the fields of health sciences and applied sciences, while social sciences are less represented.
Abstract
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.
The main contribution of this study lies in integrating PRISMA-based systematic selection with bibliometric visualization to identify emerging trends, research gaps, and cooperation networks in ChatGPT-related educational research during 2023–2024.
Gulnoza Sabirova, S. Zharkynbekova, Z. Kannazarova et al.· Discover Education· 0 citations
Background:
Tools such as Chat Generative Pre-trained Transformer (ChatGPT), based on large language models (LLMs), are rapidly transforming the reporting of biomedical research.
Objectives:
To examine the ethical challenges surrounding ChatGPT highlight the risk of its misuse, and recommend ways to promote it...
Andreea Puscasu, O. Andronic, Ș. Busnatu et al.· European Science Editing· 0 citations
The literature demonstrates a transition from early benchmarking of ChatGPT against human translators and conventional translation technologies toward a more interaction-oriented understanding of human-AI collaboration, suggesting that current translation research is increasingly concerned with whether ChatGPT can tran...
Sukayna Ali, Marwan Jarrah· Frontiers in Education· 1 citation
The current bibliometric analysis investigates the evolution of research on primary science education, emphasising on author contributions, country-based production, institutional engagement, and co-occurrence analysis. The biblioshiny in the R language was used to examine the data, and the Garza-Reyes was utilised to...
Nada Rahmatika, Mazarul Hasan bin Mohamad Hanapi, M. Imami et al.· Multidisciplinary Reviews· 0 citations
Artificial intelligence (AI) research in health education has grown exponentially since the public release of ChatGPT in November 2022. However, questions remain regarding whether this growth represents a mature scholarly field or simply a self-feeding loop of publication growth. This bibliometric study examines the re...
Olasile Babatunde Adedoyin, Fahriye Altinay, Gokmen Dagli et al.· Brain: Broad Research in Art...· 0 citations
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