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Fuzzy Optimization and Decision Making

Erschienen in:

04.01.2022

Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database

verfasst von: Xinxin Wang, Zeshui Xu, Yong Qin

Erschienen in: Fuzzy Optimization and Decision Making | Ausgabe 4/2022

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Abstract

As an important research direction, operational research (OR) has always attracted scholars worldwide. We study the structure, trend and prospect in the OR field by conducting a bibliometric analysis of publications in the period of 1952–2020, which are included in the Web of Science (WoS) database. Using three effective bibliometric tools, namely, VOS viewer, CiteSpace, and Bibliometrix, a total of 5,353 publications were retrieved to show clear visual results using a series of scientific analyses. First, a performance analysis revealed the basic characteristics of publications considering the type distribution, annual trend, quantity and quality. Then, a cooperation analysis presented the influential countries/regions and showed the relationships among countries/regions, institutions and authors during different periods based on bibliometric indicators and co-authorship networks. Moreover, a keyword analysis was conducted to investigate the hot topics and development of the OR field, using co-occurrence analysis, timeline view analysis and evolution analysis. Finally, we discussed the implications and limitations, and summarized the main findings. This study hopes to provide important and valuable references for future research on the OR field.

Vorheriger Artikel Multilinear target-based decision analysis with hybrid-information targets and performance levels

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Titel: Structure, trend and prospect of operational research: a scientific analysis for publications from 1952 to 2020 included in Web of Science database
verfasst von: Xinxin Wang
Zeshui Xu
Yong Qin
Publikationsdatum: 04.01.2022
Verlag: Springer US
Erschienen in: Fuzzy Optimization and Decision Making / Ausgabe 4/2022
Print ISSN: 1568-4539
Elektronische ISSN: 1573-2908
DOI: https://doi.org/10.1007/s10700-021-09380-x

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