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A Bibliometric Analysis of Research on Multiple Criteria Decision Making


Affiliations
1 School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, China
 

In this study, publications in the multiple criteria decision making (MCDM) field during 1977–2016 were analysed using bibliometric analysis. The statistical analysis of influential publications, journals, countries/territories and authors was first conducted. The developing trends of authors’ collaborative structure and research topics were then analysed based on four different periods. The results indicated that more number of publications and authors contributed to MCDM research in the last ten years, and that the collaboration among authors has increased. The comprehensive and scientific analysis of MCDM should help researchers conduct studies in related fields.

Keywords

Bibliometrics, Multiple Criteria Decision Making, Multiple Attribute Decision Making, Social Network Analysis, VOSviewer.
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  • A Bibliometric Analysis of Research on Multiple Criteria Decision Making

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Authors

Dejian Yu
School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, China
Wanru Wang
School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, China
Wenyu Zhang
School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, China
Shuai Zhang
School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, China

Abstract


In this study, publications in the multiple criteria decision making (MCDM) field during 1977–2016 were analysed using bibliometric analysis. The statistical analysis of influential publications, journals, countries/territories and authors was first conducted. The developing trends of authors’ collaborative structure and research topics were then analysed based on four different periods. The results indicated that more number of publications and authors contributed to MCDM research in the last ten years, and that the collaboration among authors has increased. The comprehensive and scientific analysis of MCDM should help researchers conduct studies in related fields.

Keywords


Bibliometrics, Multiple Criteria Decision Making, Multiple Attribute Decision Making, Social Network Analysis, VOSviewer.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi04%2F747-758