4.6 Article

Analysis of Collaboration Evolution in AHP Research: 1982-2018

Publisher

WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219622020500406

Keywords

Analytic hierarchy process (AHP); analytic network process (ANP); collaboration evolution; bibliometric analysis

Funding

  1. Ministry of Education of Humanities and Social Science project [19YJC630208]
  2. Qinglan Project of Jiangsu Province
  3. Jiangsu University Philosophy and Social Science Research Project [2019SJA0337]
  4. National Natural Science Foundation of China [71771155, 71571123, 71725001]
  5. Natural Science Foundation of Jiangsu Province [BK20180821]

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Bibliometric analysis was used to evaluate collaboration evolution in analytic hierarchy process research, identifying the most prolific countries and institutions and exploring their collaboration relationships. Science mapping techniques were used to analyze the dynamic changes in 9859 publications over time and across institutions. This study offers a new perspective on collaboration evolution analysis within the AHP field.
Bibliometric analysis is effective for evaluating the merits of a given discipline. This study provides an analysis of collaboration evolution in analytic hierarchy process (AHP) research from 1982 to 2018. As an important developed approach of AHP, analytic network process (ANP) is also considered in this review. 9859 publications are harvested from Web of Science to conduct this bibliometric analysis. Country and institution are the two primary objectives to investigate the collaboration pattern of the 9859 publications. The most prolific countries and institutions are identified based on bibliometric indicators, and the collaboration relationships between connected countries or institutions are explored based on science mapping techniques. Further, a dynamic analysis is provided to investigate the collaboration evolution of AHP publications at the levels of country and institution. This study offers a new topic on the overview research of AHP publications, and could help in developing the collaboration evolution analysis in the AHP field.

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