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.

Author Biographies

Meria Gusteti

Affiliation: Universitas Adzkia, Country: ID

Amran Rasli

Affiliation: Universitas Adzkia, Padang, Country: MY

Suci Wulandari

Affiliation: Universitas Adzkia, Padang, Country: ID

Asrina Mulyati

Affiliation: Universitas Adzkia, Padang, Country: ID

Rahmatul Hayati

Affiliation: Universitas Adzkia, Padang, Country: ID

Khairul Azmi

Affiliation: Universitas Adzkia, Padang, Country: ID

Syerli Elza

Affiliation: Universitas Adzkia, Padang, Country: ID

Nurma Resi

Affiliation: Universitas Adzkia, Padang, Country: ID

Downloads

Published

2024-12-29

How to Cite

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

Issue

Vol. 12 No. 6 (2024)

Section

Articles

License

Articles may be used for research, teaching, and private study purposes. Authors alone are responsible for the contents of their articles. The journal owns the copyright of the articles. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of the research material.

The author(s) of a manuscript agree that if the manuscript is accepted for publication in the journal, the published article will be copyrighted using a Creative Commons “Attribution 4.0 International” license. This license allows others to freely copy, distribute, and display the copyrighted work, and derivative works based upon it, under certain specified conditions.

Authors are responsible for obtaining written permission to include any images or artwork for which they do not hold copyright in their articles, or to adapt any such images or artwork for inclusion in their articles. The copyright holder must be made explicitly aware that the image(s) or artwork will be made freely available online as part of the article under a Creative Commons “Attribution 4.0 International” license.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.