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Unraveling Scientific Impact

Author

Listed:
  • Stremersch, S.
  • Camacho, N.M.A.
  • Vanneste, S.
  • Verniers, I.W.J.

Abstract

The number of citations a paper receives is the most commonly used measure of scientific impact. In this paper, we study not only the number but also the type of citations that 659 marketing articles generated. We discern five citation types: application, affirmation, negation, review and perfunctory mention (i.e., citing an article only indirectly without really using it). Prior literature in scientometrics recognizes that the former three types, on average, signal a higher level of scientific indebtedness than the latter two types. In our sample, these three types of citation represent only 15% of all citations. We also find different determinants of citation behavior across citation types. Across the 49 determinants we included, only 13 have the same effect across all citation types, of which only 5 are statistically significant across all citation types. For instance, we find a significant inverted U-effect of challenging commonly held beliefs on citations counts, but only for three of the citation types: affirmation, review and perfunctory mention. Our results encourage scientific stakeholders to move beyond mere citation counts to assess a paper’s or a scholar’s scientific contribution, as well as to devote greater attention to the citation process itself.

Suggested Citation

  • Stremersch, S. & Camacho, N.M.A. & Vanneste, S. & Verniers, I.W.J., 2014. "Unraveling Scientific Impact," ERIM Report Series Research in Management ERS-2014-014-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:77022
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Rosenzweig, Stav & Grinstein, Amir & Ofek, Elie, 2016. "Social network utilization and the impact of academic research in marketing," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 818-839.
    3. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
    4. Halder, Deepa & Pradhan, Debasis & Roy Chaudhuri, Himadri, 2021. "Forty-five years of celebrity credibility and endorsement literature: Review and learnings," Journal of Business Research, Elsevier, vol. 125(C), pages 397-415.
    5. Zahedi, Zohreh & Haustein, Stefanie, 2018. "On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications," Journal of Informetrics, Elsevier, vol. 12(1), pages 191-202.

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    science; citation; scientometrics; philosophy of science; marketing; innovation;
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