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Acknowledgments and intellectual indebtedness: A bibliometric conjecture

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  • Charles H. Davis
  • Blaise Cronin

Abstract

Acknowledgments have received relatively little attention in spite of what at least one researcher has called their role as “super‐citations.” Unlike many citations, such acknowledgments necessarily imply a high degree of social interaction. Examining those acknowledgments that suggest significant intellectual indebtedness, the authors propose a mathematical model that matches empirical data closely. The proposed model is one of several used to elucidate citation patterns. When applied to acknowledgments, it shows promise for estimating individuals' influence in a field and may assist in determining cognitive interdependence among disciplines. © 1993 John Wiley & Sons, Inc.

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  • Charles H. Davis & Blaise Cronin, 1993. "Acknowledgments and intellectual indebtedness: A bibliometric conjecture," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 44(10), pages 590-592, December.
    • Handle: RePEc:bla:jamest:v:44:y:1993:i:10:p:590-592
    DOI: 10.1002/(SICI)1097-4571(199312)44:103.0.CO;2-U
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    Cited by:

    1. Walsh, John P. & Lee, You-Na & Tang, Li, 2019. "Pathogenic organization in science: Division of labor and retractions," Research Policy, Elsevier, vol. 48(2), pages 444-461.
    2. Alesia Zuccala & Peter Besselaar, 2009. "Mapping review networks: Exploring research community roles and contributions," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 111-122, October.

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