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

Authors :
Zhao Xintong
Langlois Kyle
Furst Jacob
An Yuan
Hu Xiaohua
Gualdron Diego Gomez
Uribe-Romo Fernando
Greenberg Jane
Source :
Journal of Data and Information Science, Vol 9, Iss 3, Pp 44-64 (2024)
Publication Year :
2024
Publisher :
Sciendo, 2024.

Abstract

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.

Details

Language :
English
ISSN :
2543683X
Volume :
9
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Journal of Data and Information Science
Publication Type :
Academic Journal
Accession number :
edsdoj.14b19fe5e52c432ab8c46df20c82aa0a
Document Type :
article
Full Text :
https://doi.org/10.2478/jdis-2024-0019