Exploring the Landscape: A Bibliometric Analysis of 30-Most Cited Articles on ChatGPT in Education

Authors

  • Kashinath Boral
  • Krishna Mondal
  • Aparna Saikia

DOI:

https://doi.org/10.46328/ijemst.4433

Keywords:

ChatGPT, Artificial intelligence, Education, Citation

Abstract

ChatGPT is a conversational AI model that offers unique opportunities for personalized learning, students’ engagement, and educational support. This study aims to investigate the influence of the top 30 most cited articles in the realm of ChatGPT in education. Employing a descriptive approach, bibliometric analysis was conducted on a combined dataset of 31 articles sourced from Web of Science and Scopus databases. Additionally, co-authorship and co-occurrence analyses were performed using VOSviewer (version 1.6.20) software. The findings reveal that the most cited papers were published between 2023 and 2024, with Healthcare, an open-access journal, emerging as the most cited platform. Notably, review articles garnered the highest number of citations, and authors predominantly hailed from developed nations. The literature dominantly focuses on the use of ChatGPT in medical education. Co-occurrence and co-authorship analyses highlight "ChatGPT" and "artificial intelligence" as the most frequently encountered keywords and no authors have published more than one paper. Lastly, a discussion, future suggestions and conclusion of the results was made which can serve as a key point for future research in the field.

Author Biographies

Kashinath Boral

Affiliation: Research Scholar, Assam University, Silchar, Assam, India, Country: IN

Krishna Mondal

Affiliation: Research Scholar, Assam University, Silchar, Assam, India, Country: IN

Aparna Saikia

Affiliation: Research Scholar, Assam University, Silchar, Assam, India, Country: IN

Downloads

Published

2024-12-29

How to Cite

Boral, K., Mondal, K., & Saikia, A. (2024). Exploring the Landscape: A Bibliometric Analysis of 30-Most Cited Articles on ChatGPT in Education. International Journal of Education in Mathematics, Science and Technology, 12(6), 1583–1602. https://doi.org/10.46328/ijemst.4433

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.