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Assessing academic impacts of machine learning applications on a social science: Bibliometric evidence from economics
16 references·0 citing·43 second hop
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References

  • 2005An index to quantify an individual's scientific research output11,612 cited
  • 2016A review of the literature on citation impact indicators1,344 cited
  • 2019Large teams develop and small teams disrupt science and technology1,040 cited
  • 2020Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations1,016 cited
  • 2020Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations916 cited
  • 2021Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis723 cited
  • 2019Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction684 cited
  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2000The Slowdown of the Economics Publishing Process514 cited
  • 2016A Dynamic Network Measure of Technological Change498 cited
  • 2019The Impact of Machine Learning on Economics488 cited
  • 2019Machine learning in energy economics and finance: A review438 cited
  • 2020The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration396 cited
  • 2013Which factors help authors produce the highest impact research? Collaboration, journal and document properties

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318 cited
  • 2021Slowed canonical progress in large fields of science318 cited
  • 2019Machine Learning for Sociology294 cited
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