IDEAS home Printed from https://ideas.repec.org/a/ids/ijdmmm/v16y2024i2p113-147.html
   My bibliography  Save this article

Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases

Author

Listed:
  • Hamed Khosravi
  • Mohammad Reza Shafie
  • Morteza Hajiabadi
  • Ahmed Shoyeb Raihan
  • Imtiaz Ahmed

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.

Suggested Citation

  • Hamed Khosravi & Mohammad Reza Shafie & Morteza Hajiabadi & Ahmed Shoyeb Raihan & Imtiaz Ahmed, 2024. "Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 16(2), pages 113-147.
    • Handle: RePEc:ids:ijdmmm:v:16:y:2024:i:2:p:113-147
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=138824
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijdmmm:v:16:y:2024:i:2:p:113-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=342 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.