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The use of ChatGPT for identifying disruptive papers in science: a first exploration
5 references·0 citing·26 second hop
The use of ChatGPT for identifying disruptive papers in science: a first exploration (2024)The use of ChatGPT for identifying disrup…The use of ChatGPT to find similar institutions for institutional benchmarking (2024)The use of ChatGPT to find si…Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts (2024)Can ChatGPT be used to predic…What do we know about the disruption index in scientometrics? An overview of the literature (2023)What do we know about the dis…Remote collaboration fuses fewer breakthrough ideas (2023)Remote collaboration fuses fe…Large teams develop and small teams disrupt science and technology (2019)Large teams develop and small…Exploration and Exploitation in Organizational Learning (1991)The Increasing Dominance of Teams in Production of Knowledge (2007)Atypical Combinations and Scientific Impact (2013)Evolutionary dynamics of higher-order interactions in social networks (2021)Social physics (2022)Papers and patents are becoming less disruptive over time (2023)THE STRUCTURE OF SCIENTIFIC REVOLUTIONS (1963)The Structure of Scientific Revolutions (1963)Technological Discontinuities and Organizational Environments (1986)Is there a secular decline in disruptive patents? Correcting for measurement bias (2024)The disruption index is biased by citation inflation (2024)Text vs. citations: A comparative analysis of breakthrough and disruption metrics in patent innovation (2025)The Strength of Weak Ties (1973)Structural Holes and Good Ideas (2004)Global value chains and regional systems of innovation: Towards a critical juncture? (2024)Artificial intelligence tools expand scientists’ impact but contract science’s focus (2026)The Scree Test For The Number Of Factors (1966)An effect size primer: A guide for clinicians and researchers. (2009)Effect size guidelines for individual differences researchers (2016)Research quality evaluation by AI in the era of large language models: advantages, disadvantages, and systemic effects – An opinion paper (2025)The use of artificial intelligence (AI) in research: a review of author guidelines in leading journals across eight social science disciplines (2025)Combining mapping and citation analysis for evaluative bibliometric purposes: A bibliometric study (1999)ChatGPT for Education and Research: Opportunities, Threats, and Strategies (2023)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)How to measure interdisciplinary research? A systemic design for the model of measurement (2024)Estimation of disciplinary similarity with large language models (2025)
this work references cited by second hop

References

  • 2019Large teams develop and small teams disrupt science and technology1,040 cited
  • 2023Remote collaboration fuses fewer breakthrough ideas190 cited
  • 2023What do we know about the disruption index in scientometrics? An overview of the literature74 cited
  • 2024Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts34 cited
  • 2024The use of ChatGPT to find similar institutions for institutional benchmarking16 cited

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