The use of ChatGPT for identifying disruptive papers in science: a first exploration

Lutz Bornmann · Lingfei Wu · C. Ettl

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scientometrics and bibliometrics research Psychology Research and Bibliometrics Web visibility and informetrics

Abstract

Abstract ChatGPT has arrived in quantitative research evaluation. With the exploration in this Letter to the Editor, we would like to widen the spectrum of the possible use of ChatGPT in bibliometrics by applying it to identify disruptive papers. The identification of disruptive papers using publication and citation counts has become a popular topic in scientometrics. The disadvantage of the quantitative approach is its complexity in the computation. The use of ChatGPT might be an easy to use alternative.

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2019Large teams develop and small teams disrupt science and technology 2023Remote collaboration fuses fewer breakthrough ideas 2023What do we know about the disruption index in scientometrics? An overview of the literature 2024Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts 2024The use of ChatGPT to find similar institutions for institutional benchmarking

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