Can we identify prominent scholars using ChatGPT?
Frode Eika Sandnes ()
Additional contact information
Frode Eika Sandnes: Oslo Metropolitan University
Scientometrics, 2024, vol. 129, issue 1, No 28, 713-718
Abstract:
Abstract It may be tempting to learn about scholars using ChatGPT. To validate ChatGPT for this task a small experiment was conducted based on the 50 most cited researchers at the author’s university. The results show that ChatGPT (GPT-3.5) only recognized an ad-hoc subset of the scholars with no obvious connection to the respective authors’ citation attributes or internet footprint. Moreover, details about the recognized scholars were often erroneous.
Keywords: Evaluating; Research impact; Research visibility; ChatGPT; Large language models; Scientometrics; Bibliometrics (search for similar items in EconPapers)
JEL-codes: I21 I23 I28 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-023-04882-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:129:y:2024:i:1:d:10.1007_s11192-023-04882-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-023-04882-4
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().