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Facts to consider when analyzing the references of Nobel Prize scientific background

Author

Listed:
  • Houcemeddine Turki

    (University of Sfax)

  • Mohamed Ali Hadj Taieb

    (University of Sfax)

  • Mohamed Ben Aouicha

    (University of Sfax)

Abstract

Although the overall analysis of the citations received by Nobel laureates in the scientific background of their Nobel Prize gives an overview of how and when Nobel-awarded discoveries have been achieved and published, it will be interesting to consider the number of mentions of each work co-authored by a Nobel winner in his Nobel Prize scientific background, the works co-authored by Nobel laureates and listed in Further Reading section of Nobel Prize scientific background, the author rank of Nobel laureates in papers cited in Nobel Prize scientific background and the citation and co-citation networks of the research works of Nobel winners to give in-depth explanations of the dynamics of Nobel Prize discoveries.

Suggested Citation

  • Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha, 2020. "Facts to consider when analyzing the references of Nobel Prize scientific background," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 787-790, July.
    • Handle: RePEc:spr:scient:v:124:y:2020:i:1:d:10.1007_s11192-020-03456-y
    DOI: 10.1007/s11192-020-03456-y
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    References listed on IDEAS

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    1. Xiaojun Wan & Fang Liu, 2014. "WL-index: Leveraging citation mention number to quantify an individual's scientific impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2509-2517, December.
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    4. Hu, Zhigang & Lin, Gege & Sun, Taian & Hou, Haiyan, 2017. "Understanding multiply mentioned references," Journal of Informetrics, Elsevier, vol. 11(4), pages 948-958.
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    Cited by:

    1. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    2. Xing, Yanmeng & Wang, Fenghua & Zeng, An & Ying, Fan, 2021. "Solving the cold-start problem in scientific credit allocation," Journal of Informetrics, Elsevier, vol. 15(3).

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