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A bibliometric analysis of highly cited papers in the field of Economics and Business based on the Essential Science Indicators database

Author

Listed:
  • Nan Zhang

    (University of Science and Technology of China)

  • Shanshan Wan

    (University of Science and Technology of China)

  • Peiling Wang

    (University of Tennessee at Knoxville)

  • Peng Zhang

    (University of Science and Technology of China)

  • Qiang Wu

    (University of Science and Technology of China)

Abstract

Based on the Essential Science Indicators database, this study analyzed 2140 highly cited papers (HCPs) in the field of Economics and Business from 4499 authors, 914 universities, and 64 countries/territories. From this data, three lists were created: the top 76 scientists, 50 most influential universities, and 33 most influential countries/territories. The results show that the USA is the global leader in Business and Economics with 1517 HCPs, ranking number 1. Also, 46 of the top scientists (60.5%), and 37 of the most influential universities (74%) are from the USA. This study also found: (1) the collaboration network among the top 76 scientists is not very close but a relatively tight sub-network with 13 top scientists has formed; (2) all 50 most influential universities are interconnected, and the cooperation between Harvard University and MIT was the strongest, producing 23 HCPs together; (3) the collaboration network among the most influential countries is quite close with a large network of 60 nodes and only four isolated nodes. In addition, this study demonstrates that significant positive correlations exist between authors’ HCP and h-index, between universities’ HCP and h-index, and between countries’ HCP and h-index. Since h-index is known to be a reliable indicator, these correlations indicate that when evaluating the academic impact of scholars, universities, and countries, the HCP approach is also considerably useful.

Suggested Citation

  • Nan Zhang & Shanshan Wan & Peiling Wang & Peng Zhang & Qiang Wu, 2018. "A bibliometric analysis of highly cited papers in the field of Economics and Business based on the Essential Science Indicators database," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1039-1053, August.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:2:d:10.1007_s11192-018-2786-7
    DOI: 10.1007/s11192-018-2786-7
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    5. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
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    8. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
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