Journal of Data and Information Science (Jul 2024)

Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop

  • Zhao Xintong,
  • Langlois Kyle,
  • Furst Jacob,
  • An Yuan,
  • Hu Xiaohua,
  • Gualdron Diego Gomez,
  • Uribe-Romo Fernando,
  • Greenberg Jane

DOI
https://doi.org/10.2478/jdis-2024-0019
Journal volume & issue
Vol. 9, no. 3
pp. 44 – 64

Abstract

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This paper reports on a scientometric analysis bolstered by human-in-the-loop, domain experts, to examine the field of metal-organic frameworks (MOFs) research. Scientometric analyses reveal the intellectual landscape of a field. The study engaged MOF scientists in the design and review of our research workflow. MOF materials are an essential component in next-generation renewable energy storage and biomedical technologies. The research approach demonstrates how engaging experts, via human-in-the-loop processes, can help develop a comprehensive view of a field’s research trends, influential works, and specialized topics.

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