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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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    as
    1. José M. Merigó & Alba Rocafort & Juan Pedro Aznar-Alarcón, 2016. "Bibliometric Overview of Business & Economics Research," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(3), pages 397-413, June.
    2. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    3. Wagstaff, Adam & Culyer, Anthony J., 2012. "Four decades of health economics through a bibliometric lens," Journal of Health Economics, Elsevier, vol. 31(2), pages 406-439.
    4. Corrado Cuccurullo & Massimo Aria & Fabrizia Sarto, 2016. "Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 595-611, August.
    5. Ling-Li Li & Guohua Ding & Nan Feng & Ming-Huang Wang & Yuh-Shan Ho, 2009. "Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 39-58, July.
    6. Kun-Yang Chuang & Ming-Huang Wang & Yuh-Shan Ho, 2011. "High-impact papers presented in the subject category of water resources in the essential science indicators database of the institute for scientific information," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 551-562, June.
    7. Claudio A. Bonilla & José M. Merigó & Carolina Torres-Abad, 2015. "Economics in Latin America: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1239-1252, November.
    8. R. Karpagam & S. Gopalakrishnan & M. Natarajan & B. Ramesh Babu, 2011. "Mapping of nanoscience and nanotechnology research in India: a scientometric analysis, 1990–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 501-522, November.
    9. Wen-Ta Chiu & Yuh-Shan Ho, 2007. "Bibliometric analysis of tsunami research," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 3-17, October.
    10. Hoepner, Andreas G.F. & Kant, Benjamin & Scholtens, Bert & Yu, Pei-Shan, 2012. "Environmental and ecological economics in the 21st century: An age adjusted citation analysis of the influential articles, journals, authors and institutions," Ecological Economics, Elsevier, vol. 77(C), pages 193-206.
    11. Alain Molinari & Jean-Francois Molinari, 2008. "Mathematical aspects of a new criterion for ranking scientific institutions based on the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 339-356, May.
    12. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    13. Abramo, Giovanni & D'Angelo, Ciriaco Andrea & Caprasecca, Alessandro, 2009. "Allocative efficiency in public research funding: Can bibliometrics help?," Research Policy, Elsevier, vol. 38(1), pages 206-215, February.
    14. Rey-Martí, Andrea & Ribeiro-Soriano, Domingo & Palacios-Marqués, Daniel, 2016. "A bibliometric analysis of social entrepreneurship," Journal of Business Research, Elsevier, vol. 69(5), pages 1651-1655.
    15. Radhamany Sooryamoorthy, 2010. "Medical research in South Africa: a scientometric analysis of trends, patterns, productivity and partnership," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 863-885, September.
    16. Hsieh, Pao-Nuan & Chang, Pao-Long, 2009. "An assessment of world-wide research productivity in production and operations management," International Journal of Production Economics, Elsevier, vol. 120(2), pages 540-551, August.
    17. Hui-Zhen Fu & Kun-Yang Chuang & Ming-Huang Wang & Yuh-Shan Ho, 2011. "Characteristics of research in China assessed with Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 841-862, September.
    18. M. R. Davarpanah & S. Aslekia, 2008. "A scientometric analysis of international LIS journals: Productivity and characteristics," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 21-39, October.
    19. Edit Csajbók & Anna Berhidi & Lívia Vasas & András Schubert, 2007. "Hirsch-index for countries based on Essential Science Indicators data," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 91-117, October.
    20. András Schubert, 2007. "Successive h-indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 201-205, January.
    21. Chien-Lung Hsu & Chun-Hao Chiang, 2015. "The financial crisis research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 161-177, October.
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    3. Lauranne Chaignon & Domingo Docampo & Daniel Egret, 2023. "In search of a scientific elite: highly cited researchers (HCR) in France," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5801-5827, October.
    4. 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.
    5. Buehling, Kilian, 2021. "Changing research topic trends as an effect of publication rankings – The case of German economists and the Handelsblatt Ranking," Journal of Informetrics, Elsevier, vol. 15(3).
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    7. Kiran Kaur & Kwan Hoong Ng & Ray Kemp & Yin Yee Ong & Zaharah Ramly & Ai Peng Koh, 2019. "Knowledge generation in the wake of the Fukushima Daiichi nuclear power plant disaster," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 149-169, April.
    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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