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Binary scientific star coauthors core size

Author

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  • Marcel Ausloos

    (rue de la Belle Jardinière, 483/0021
    Royal Netherlands Academy of Arts and Sciences)

Abstract

It is examined whether the relationship J ∝ A/r α , and the subsequent coauthor (CA) core notion (Ausloos, Scientometrics 95(3):895–909, 2013), between the number (J) of joint publications (JPs) by a “main scientist” [leading investigator (LI)] with her/his CAs can be extended to a team-like system. This is done by considering that each CA can be so strongly tied to the LI that they are forming binary scientific star (BSS) systems with respect to their other collaborators. Moreover, publications in peer review journals and in “proceedings”, both often thought to be of “different quality”, are separately distinguished. The role of a time interval for measuring J and α is also examined. New indirect measures are also introduced. For making the point, two LI cases with numerous CAs are studied. It is found that only a few BSS need to be usefully examined. The exponent α turns out to be “second scientist” weakly dependent, but still “size” and “publication type” dependent, according to the number of CAs or JP. The CA core value is found to be (CA or JP) size and publication type dependent, but remains in an understandable range. Somewhat unexpectedly, no special qualitative difference on the BSS CA core value is found between publications in peer review journals and in proceedings. In conclusion, some remark is made on partner cooperation in BSS teams. It is suggested that such measures can serve as criteria for distinguishing the role of scientists in a team.

Suggested Citation

  • Marcel Ausloos, 2014. "Binary scientific star coauthors core size," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 331-351, May.
    • Handle: RePEc:spr:scient:v:99:y:2014:i:2:d:10.1007_s11192-014-1230-x
    DOI: 10.1007/s11192-014-1230-x
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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. Antonio Fernández-Cano & Manuel Torralbo & Mónica Vallejo, 2004. "Reconsidering Price's model of scientific growth: An overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 301-321, November.
    4. Alesia Zuccala, 2006. "Modeling the invisible college," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(2), pages 152-168, January.
    5. Bolle, Friedel & Ockenfels, Peter, 1990. "Prisoners' Dilemma as a game with incomplete information," Journal of Economic Psychology, Elsevier, vol. 11(1), pages 69-84, March.
    6. Axel Ockenfels & Gary E. Bolton, 2000. "ERC: A Theory of Equity, Reciprocity, and Competition," American Economic Review, American Economic Association, vol. 90(1), pages 166-193, March.
    7. M. Ausloos, 2013. "A scientometrics law about co-authors and their ranking: the co-author core," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 895-909, June.
    8. Hollis, Aidan, 2001. "Co-authorship and the output of academic economists," Labour Economics, Elsevier, vol. 8(4), pages 503-530, September.
    9. 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.
    10. R. Kenna & B. Berche, 2011. "Critical mass and the dependency of research quality on group size," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 527-540, February.
    11. Olle Persson & Wolfgang Glänzel & Rickard Danell, 2004. "Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 421-432, August.
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    Cited by:

    1. Ausloos, Marcel, 2015. "Coherent measures of the impact of co-authors in peer review journals and in proceedings publications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 568-578.
    2. 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.
    3. Marcel Ausloos, 2014. "Zipf–Mandelbrot–Pareto model for co-authorship popularity," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1565-1586, December.

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