Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases
by Hamed Khosravi; Mohammad Reza Shafie; Morteza Hajiabadi; Ahmed Shoyeb Raihan; Imtiaz Ahmed
International Journal of Data Mining, Modelling and Management (IJDMMM), Vol. 16, No. 2, 2024

Abstract: This paper presents a bibliometric analysis of the scientific literature related to chatbots, focusing specifically on ChatGPT. Chatbots have gained increasing attention recently, with an annual growth rate of 19.16% and 27.19% on the Web of Sciences (WoS) and Scopus, respectively. The research consists of two study phases: 1) an analysis of chatbot literature; 2) a comprehensive review of scientific documents on ChatGPT. In the first phase, a bibliometric analysis is conducted on all the published literature from both Scopus (5,839) and WoS (2,531) databases covering the period from 1998 to 2023. Consequently, bibliometric analysis has been carried out on ChatGPT publications, and 45 published studies have been analysed thoroughly based on their methods, novelty, and conclusions. Overall, the study aims to provide guidelines for researchers to conduct their research more effectively in the field of chatbots and specifically highlight significant areas for future investigation into ChatGPT.

Online publication date: Fri, 31-May-2024

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