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Assessing the true role of coauthors in the h-index measure of an author scientific impact

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  • Ausloos, M.

Abstract

A method based on the classical principal component analysis leads to demonstrate that the role of co-authors should give a h-index measure to a group leader higher than usually accepted. The method rather easily gives what is usually searched for, i.e. an estimate of the role (or “weight”) of co-authors, as the additional value to an author papers’ popularity. The construction of the co-authorship popularity H-matrix is exemplified and the role of eigenvalues and the main eigenvector component are discussed. Examples illustrate the points and serve as the basis for suggesting a generally practical application of the concept.

Suggested Citation

  • Ausloos, M., 2015. "Assessing the true role of coauthors in the h-index measure of an author scientific impact," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 422(C), pages 136-142.
    • Handle: RePEc:eee:phsmap:v:422:y:2015:i:c:p:136-142
    DOI: 10.1016/j.physa.2014.12.004
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    References listed on IDEAS

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    11. Serge Galam, 2011. "Tailor based allocations for multiple authorship: a fractional gh-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 365-379, October.
    12. Nasir Ahmad Aziz & Maarten Pieter Rozing, 2013. "Profit (p)-Index: The Degree to Which Authors Profit from Co-Authors," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
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    Cited by:

    1. Claudiu Herteliu & Marcel Ausloos & Bogdan Vasile Ileanu & Giulia Rotundo & Tudorel Andrei, 2017. "Quantitative and Qualitative Analysis of Editor Behavior through Potentially Coercive Citations," Publications, MDPI, vol. 5(2), pages 1-16, June.
    2. J. E. Hirsch, 2019. "hα: An index to quantify an individual’s scientific leadership," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 673-686, February.
    3. Fenghua Wang & Ying Fan & An Zeng & Zengru Di, 2019. "A nonlinear collective credit allocation in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1655-1668, June.
    4. 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.
    5. Javier E., Contreras-Reyes, 2016. "Credit allocation based on journal impact factor and coauthorship contribution," MPRA Paper 71294, University Library of Munich, Germany.
    6. Shaon Sahoo, 2016. "Analyzing research performance: proposition of a new complementary index," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 489-504, August.
    7. Javier E. Contreras-Reyes, 2016. "Credit allocation based on journal impact factor and coauthorship contribution," Papers 1606.04139, arXiv.org.

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