Landscape of Research Areas for Zeolites and Metal-Organic Frameworks Using Computational Classification Based on Citation Networks
Name
materials-10-01428-v2.pdf
Size
7.59 MB
Format
Adobe PDF
Checksum (MD5)
b70b4b76bceebd54fb477e24fd044c82
Author(s)
Ogawa, Takaya
Iyoki, Kenta
Fukushima, Tomohiro
Kajikawa, Yuya
Date Issued
December 2017
Journal
Materials
Publisher
MDPI AG
Citation
Ogawa, Takaya et al. “Landscape of Research Areas for Zeolites and Metal-Organic Frameworks Using Computational Classification Based on Citation Networks.” Materials 10, 12 (December 2017): 1428 © 2017 The Author(s)
Version
Final published version
Abstract
The field of porous materials is widely spreading nowadays, and researchers need to read tremendous numbers of papers to obtain a "bird's eye" view of a given research area. However, it is difficult for researchers to obtain an objective database based on statistical data without any relation to subjective knowledge related to individual research interests. Here, citation network analysis was applied for a comparative analysis of the research areas for zeolites and metal-organic frameworks as examples for porous materials. The statistical and objective data contributed to the analysis of: (1) the computational screening of research areas; (2) classification of research stages to a certain domain; (3) "well-cited" research areas; and (4) research area preferences of specific countries. Moreover, we proposed a methodology to assist researchers to gain potential research ideas by reviewing related research areas, which is based on the detection of unfocused ideas in one area but focused in the other area by a bibliometric approach. Keywords: research and development management; citation network analysis; bibliometrics; porous materials; zeolites; metal-organic frameworks
MIT Department
Massachusetts Institute of Technology. Department of Chemical Engineering
Massachusetts Institute of Technology. Department of Chemistry
Terms of Use
Attribution 4.0 International (CC BY 4.0)
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3390/ma10121428
