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Chatbots and ChatGPT: A Bibliometric Analysis and Systematic Review of Publications in Web of Science and Scopus Databases

2023/04/11 by Hamed Khosravi, Khosravi, Hamed, Mohammad Reza Shafie +7
Computer Science · Medicine · #AI in Service Interactions #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #Digital Libraries (cs.DL) #FOS: Computer and information sciences

paper · pdf · doi:10.48550/arxiv.2304.05436

openalex publication_date 2023/04/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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. In this study, we have explored the structure, conceptual evolution, and trends in this field by analyzing data from both Scopus and WoS databases. The research consists of two study phases: (i) an analysis of chatbot literature and (ii) a comprehensive review of scientific documents on ChatGPT. In the first phase, a bibliometric analysis is conducted on all published literature, including articles, book chapters, conference papers, and reviews on chatbots from both Scopus (5839) and WoS (2531) databases covering the period from 1998 to 2023. An in-depth analysis focusing on sources, countries, authors' impact, and keywords has revealed that ChatGPT is the latest trend in the chatbot field. Consequently, in the second phase, bibliometric analysis has been carried out on ChatGPT publications, and 45 published studies have been analyzed thoroughly based on their methods, novelty, and conclusions. The key areas of interest identified from the study can be classified into three groups: artificial intelligence and related technologies, design and evaluation of conversational agents, and digital technologies and mental health. 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.

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