ChatGPT for Bibliometrics: A comprehensive corpus of applications

Abstract

This paper explores the transformative role of ChatGPT in enhancing bibliometric research methodologies across various stages of academic study. It discusses the application of ChatGPT in bibliometric studies across five core research stages: preparation and consultation, data processing, data analysis, results interpretation, and scientific writing. Highlighting ChatGPT's versatility, the paper showcases its utility in streamlining data handling, enhancing analytical depth, and facilitating scholarly communication. With capabilities ranging from querying external APIs to customising responses for specific research needs, ChatGPT may aid the efficiency and efficacy of bibliometric research. Ethical considerations are also discussed, advocating for the integration of ChatGPT to uphold high ethical standards and improve research integrity.