Bibliometric Study on ChatGPT

Authors

  • Meria Gusteti
  • Amran Rasli
  • Suci Wulandari
  • Asrina Mulyati
  • Rahmatul Hayati
  • Khairul Azmi
  • Syerli Elza
  • Nurma Resi

DOI:

https://doi.org/10.46328/ijemst.4447

Keywords:

ChatGPT, Education, Bibliometric, Database, Scopus

Abstract

Bibliometric studies are an important approach to understanding trends and dynamics in scientific literature. In the context of artificial intelligence (AI), ChatGPT has become an interesting research subject in recent years. This article presents a bibliometric analysis of ChatGPT from 2022 to April 2024, with a focus on publication trends, journals that published the most articles, number of citations, and keyword trends. Data were analyzed using bibliometric methods and information visualization. The main findings show fluctuations in the number of publications from year to year, with a significant increase in 2023 and 2024. Ten major journals publishing articles on ChatGPT were also identified, providing insight into the distribution of publications. Additionally, citation analysis highlights the most influential articles in the ChatGPT literature. The keyword network provides an understanding of the concepts most frequently associated with ChatGPT in the scientific literature. This research makes an important contribution to understanding developments and trends in ChatGPT research, while also identifying areas where further research can be expanded.

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Published

2024-12-29

Issue

Vol. 12 No. 6 (2024)

Section

Articles

License

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How to Cite

Bibliometric Study on ChatGPT. (2024). International Journal of Education in Mathematics, Science and Technology, 12(6), 1435-1450. https://doi.org/10.46328/ijemst.4447