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A bibliometric index based on the collaboration distance between cited and citing authors

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  • Bras-Amorós, Maria
  • Domingo-Ferrer, Josep
  • Torra, Vicenç

Abstract

The popular h-index used to measure scientific output can be described in terms of a pool of evaluated objects (the papers), a quality function on the evaluated objects (the number of citations received by each paper) and a sentencing line crossing the origin, whose intersection with the graph of the quality function yields the index value (in the h-index this is a line with slope 1). Based on this abstraction, we present a new index, the c-index, in which the evaluated objects are the citations received by an author, a group of authors, a journal, etc., the quality function of a citation is the collaboration distance between the authors of the cited and the citing papers, and the sentencing line can take slopes between 0 and ∞. As a result, the new index counts only those citations which are significant enough, where significance is proportional to collaboration distance. Several advantages of the new c-index with respect to previous proposals are discussed.

Suggested Citation

  • Bras-Amorós, Maria & Domingo-Ferrer, Josep & Torra, Vicenç, 2011. "A bibliometric index based on the collaboration distance between cited and citing authors," Journal of Informetrics, Elsevier, vol. 5(2), pages 248-264.
    • Handle: RePEc:eee:infome:v:5:y:2011:i:2:p:248-264
    DOI: 10.1016/j.joi.2010.11.001
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    References listed on IDEAS

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    7. van Eck, N.J.P. & Waltman, L., 2008. "Generalizing the h- and g-indices," ERIM Report Series Research in Management ERS-2008-049-LIS, 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.
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    Cited by:

    1. Rok Blagus & Brane L. Leskošek & Janez Stare, 2015. "Comparison of bibliometric measures for assessing relative importance of researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1743-1762, December.
    2. Alessandro Margherita & Gianluca Elia & Claudio Petti, 2022. "What Is Quality in Research? Building a Framework of Design, Process and Impact Attributes and Evaluation Perspectives," Sustainability, MDPI, vol. 14(5), pages 1-18, March.
    3. Persson, Rasmus A.X., 2017. "Bibliometric author evaluation through linear regression on the coauthor network," Journal of Informetrics, Elsevier, vol. 11(1), pages 299-306.
    4. Maurice Poirrier & Sebastián Moreno & Gonzalo Huerta-Cánepa, 2021. "Robust h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1969-1981, March.
    5. Xiaorui Jiang & Xiaoping Sun & Hai Zhuge, 2013. "Graph-based algorithms for ranking researchers: not all swans are white!," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 743-759, September.

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