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The ripple effect: Citation chain reactions of a nobel prize

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  • Tove Faber Frandsen
  • Jeppe Nicolaisen

Abstract

This paper explores the possible citation chain reactions of a Nobel Prize using the mathematician Robert J. Aumann as a case example. The results show that the award of the Nobel Prize in 2005 affected not only the citations to his work, but also affected the citations to the references in his scientific oeuvre. The results indicate that the spillover effect is almost as powerful as the effect itself. We are consequently able to document a ripple effect in which the awarding of the Nobel Prize ignites a citation chain reaction to Aumann's scientific ouvre and to the references in its nearest citation network. The effect is discussed using innovation decision process theory as a point of departure to identify the factors that created a bandwagon effect leading to the reported observations.

Suggested Citation

  • Tove Faber Frandsen & Jeppe Nicolaisen, 2013. "The ripple effect: Citation chain reactions of a nobel prize," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(3), pages 437-447, March.
    • Handle: RePEc:bla:jamist:v:64:y:2013:i:3:p:437-447
    DOI: 10.1002/asi.22785
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    Cited by:

    1. Dongyu Zang & Chunli Liu, 2023. "Exploring the clinical translation intensity of papers published by the world’s top scientists in basic medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2371-2416, April.
    2. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    3. Wen Lou & Jiangen He & Lingxin Zhang & Zhijie Zhu & Yongjun Zhu, 2023. "Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5767-5790, October.
    4. Tove Faber Frandsen & Jeppe Nicolaisen, 2017. "Rejoinder: Noble prize effects in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2844-2845, December.
    5. Jelnov, Pavel & Weiss, Yoram, 2022. "Influence in economics and aging," Labour Economics, Elsevier, vol. 77(C).
    6. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    7. Jingda Ding & Yifan Chen & Chao Liu, 2023. "Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5247-5275, September.
    8. Kong, Ling & Wang, Dongbo, 2020. "Comparison of citations and attention of cover and non-cover papers," Journal of Informetrics, Elsevier, vol. 14(4).
    9. Elisabeth Maria Schlagberger & Lutz Bornmann & Johann Bauer, 2016. "At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 723-767, November.
    10. Battiston, Pietro & Sacco, Pier Luigi & Stanca, Luca, 2022. "Cover effects on citations uncovered: Evidence from Nature," Journal of Informetrics, Elsevier, vol. 16(2).
    11. Cherrier, Beatrice & Svorenčík, Andrej, 2017. "Defining Excellence: 70 Years of John Bates Clark Medals," SocArXiv bacmj, Center for Open Science.

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