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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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    1. J. E. Hirsch, 2010. "An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 741-754, December.
    2. Lutz Bornmann & Rüdiger Mutz & Hans‐Dieter Daniel, 2008. "Are there better indices for evaluation purposes than the h index? A comparison of nine different variants of the h index using data from biomedicine," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(5), pages 830-837, March.
    3. Schreiber, Michael, 2010. "How to modify the g-index for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 4(1), pages 42-54.
    4. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    5. Judit Bar-Ilan, 2008. "Which h-index? — A comparison of WoS, Scopus and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 257-271, February.
    6. Rotundo, Giulia, 2014. "Black–Scholes–Schrödinger–Zipf–Mandelbrot model framework for improving a study of the coauthor core score," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 404(C), pages 296-301.
    7. Steven A. Morris, 2005. "Manifestation of emerging specialties in journal literature: A growth model of papers, references, exemplars, bibliographic coupling, cocitation, and clustering coefficient distribution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(12), pages 1250-1273, October.
    8. Schreiber, Michael, 2008. "A modification of the h-index: The hm-index accounts for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 2(3), pages 211-216.
    9. Antonis Sidiropoulos & Dimitrios Katsaros & Yannis Manolopoulos, 2007. "Generalized Hirsch h-index for disclosing latent facts in citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 253-280, August.
    10. Steven A. Morris & Michel L. Goldstein, 2007. "Manifestation of research teams in journal literature: A growth model of papers, authors, collaboration, coauthorship, weak ties, and Lotka's law," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(12), pages 1764-1782, October.
    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.
    13. Marcel Ausloos, 2014. "Binary scientific star coauthors core size," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 331-351, May.
    14. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2013. "The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences," Journal of Informetrics, Elsevier, vol. 7(1), pages 198-208.
    15. Schreiber, M. & Malesios, C.C. & Psarakis, S., 2012. "Exploratory factor analysis for the Hirsch index, 17 h-type variants, and some traditional bibliometric indicators," Journal of Informetrics, Elsevier, vol. 6(3), pages 347-358.
    16. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    17. Hassan Bougrine, 2014. "Subfield effects on the core of coauthors," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1047-1064, February.
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    Cited by:

    1. 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.
    2. 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.
    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. Javier E., Contreras-Reyes, 2016. "Credit allocation based on journal impact factor and coauthorship contribution," MPRA Paper 71294, University Library of Munich, Germany.
    5. 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.
    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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