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Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021
10 references·8 citing·51 second hop
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References

  • 2021How to conduct a bibliometric analysis: An overview and guidelines14,255 cited
  • 2016A review of the literature on citation impact indicators1,344 cited
  • 2020Are Ideas Getting Harder to Find?999 cited
  • 2022How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan547 cited
  • 2020Microsoft Academic Graph: When experts are not enough513 cited
  • 2020Artificial Intelligence in Health Care: Bibliometric Analysis466 cited
  • 2016Large-scale analysis of the accuracy of the journal classification systems of Web of Science and Scopus415 cited
  • 2021Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions369 cited
  • 2022Artificial intelligence in renewable energy: A comprehensive bibliometric analysis237 cited
  • 2019Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988–2018)183 cited

Cited by

  • 2024Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment150 cited
  • 2023The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?50 cited
  • 2024Nexus between Chat GPT usage dimensions and investment decisions making in Pakistan: Moderating role of financial literacy42 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

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  • 2026AI in science: When and where it makes a difference12 cited
  • 2024Accelerating research processes with Scopus AI: A place branding case study12 cited