A bibliometric analysis of literature published on ChatGPT and GPT

Abstract

Purpose

This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature.

Design/methodology/approach

The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature.

Findings

It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic.

Originality/value

To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.

Citation

Safdar, M., Siddique, N., Gulzar, A., Adil, S.A., Yasin, H. and Khan, M.A. (2024), "A bibliometric analysis of literature published on ChatGPT and GPT", Global Knowledge, Memory and Communication, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/GKMC-08-2023-0304