ChatGPT for Bibliometrics: A comprehensive corpus of applications Torres-Salinas, Daniel Thelwall, Mike Arroyo-Machado, Wenceslao ChatGPT Bibliometría Versión 1. https://hdl.handle.net/10481/91334 Versión 2. https://hdl.handle.net/10481/92547 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. 2024-05-02T11:33:41Z 2024-05-02T11:33:41Z 2024-05-02 info:eu-repo/semantics/article https://hdl.handle.net/10481/91334 10.5281/zenodo.11103551 eng http://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess Atribución-NoComercial-CompartirIgual 4.0 Internacional