Bibliometric Study on ChatGPT

Meria Ultra Gusteti, Amran Md. Rasli, Suci Wulandari, Asrina Mulyati, Rahmatul Hayati, Khairul Azmi, Syerli Septia Elza, Nurma Resi
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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.


Keywords


ChatGPT, Education, Bibliometric, Database, Scopus

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References


Gusteti, M.U., Rasli, A.M., Wulandari, S., Mulyati, A., Hayati, R., Azmi, K., Elza, S.S., & Resi, N. (2024). Bibliometric study on ChatGPT. International Journal of Education in Mathematics, Science, and Technology (IJEMST), 12(6), 1435-1450. https://doi.org/10.46328/ijemst.4447




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

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