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Enhancing peer review efficiency: A mixed‐methods analysis of artificial intelligence ‐assisted reviewer selection across academic disciplines
16 references·4 citing·47 second hop
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References

  • 1968The Discovery of Grounded Theory: Strategies for Qualitative Research6,679 cited
  • 2007Methodological fit in management field research3,236 cited
  • 2012Peer review in a changing world: An international study measuring the attitudes of researchers393 cited
  • 2017A multi-disciplinary perspective on emergent and future innovations in peer review293 cited
  • 2016The Global Burden of Journal Peer Review in the Biomedical Literature: Strong Imbalance in the Collective Enterprise246 cited
  • 2018The changing forms and expectations of peer review179 cited
  • 2016Peer review: Troubled from the start173 cited
  • 2017Computational support for academic peer review149 cited
  • 2019Ten Hot Topics around Scholarly Publishing128 cited
  • 2015Rewarding Peer Reviewers - Maintaining the Integrity of Science Communication89 cited
  • 2017Peer review: The experience and views of early career researchers77 cited
  • 2019Predatory and exploitative behaviour in academic publishing: An assessment77 cited
  • 2018AI peer reviewers unleashed to ease publishing grind75 cited
  • 2017Evaluating alternative systems of peer review: a large-scale agent-based modelling approach to scientific publication71 cited
  • 2014

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Open access is tiring out peer reviewers
56 cited
  • 2018Fragments of peer review: A quantitative analysis of the literature (1969-2015)55 cited
  • Cited by

    • 2025Comparing human and AI expertise in the academic peer review process: towards a hybrid approach33 cited
    • 2025A Cross‐Disciplinary Analysis of AI Policies in Academic Peer Review17 cited
    • 2025Large language models in peer review: challenges and opportunities15 cited
    • 2024Benefits and Challenges of Using AI for Peer Review: A Study on Researchers’ Perceptions15 cited