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Credit allocation based on journal impact factor and coauthorship contribution

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  • Javier E. Contreras-Reyes

Abstract

Some research institutions demand researchers to distribute the incomes they earn from publishing papers to their researchers and/or co-authors. In this study, we deal with the Impact Factor-based ranking journal as a criteria for the correct distribution of these incomes. We also include the Authorship Credit factor for distribution of the incomes among authors, using the geometric progression of Cantor's theory and the Harmonic Credit Index. Depending on the ranking of the journal, the proposed model develops a proper publication credit allocation among all authors. Moreover, our tool can be deployed in the evaluation of an institution for a funding program, as well as calculating the amounts necessary to incentivize research among personnel.

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  • Javier E. Contreras-Reyes, 2016. "Credit allocation based on journal impact factor and coauthorship contribution," Papers 1606.04139, arXiv.org.
    • Handle: RePEc:arx:papers:1606.04139
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    References listed on IDEAS

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    1. Bouyssou, Denis & Marchant, Thierry, 2011. "Bibliometric rankings of journals based on Impact Factors: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 5(1), pages 75-86.
    2. Tsai, Chih-Fong, 2014. "Citation impact analysis of top ranked computer science journals and their rankings," Journal of Informetrics, Elsevier, vol. 8(2), pages 318-328.
    3. Hagen, Nils T., 2013. "Harmonic coauthor credit: A parsimonious quantification of the byline hierarchy," Journal of Informetrics, Elsevier, vol. 7(4), pages 784-791.
    4. I. Lukovits & P. Vinkler, 1995. "Correct credit distribution: A model for sharing credit among coauthors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 36(1), pages 91-98, September.
    5. Leo Egghe & Ronald Rousseau & Guido Van Hooydonk, 2000. "Methods for accrediting publications to authors or countries: Consequences for evaluation studies," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(2), pages 145-157.
    6. 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.
    7. Karpov, Alexander, 2014. "Equal weights coauthorship sharing and the Shapley value are equivalent," Journal of Informetrics, Elsevier, vol. 8(1), pages 71-76.
    8. Erica L. Groshen, 1988. "Why do wages vary among employers?," Economic Review, Federal Reserve Bank of Cleveland, vol. 24(Q I), pages 19-38.
    9. Nair, Gopalan M. & Turlach, Berwin A., 2012. "The stochastic h-index," Journal of Informetrics, Elsevier, vol. 6(1), pages 80-87.
    10. Pauline Mattsson & Carl Johan Sundberg & Patrice Laget, 2011. "Is correspondence reflected in the author position? A bibliometric study of the relation between corresponding author and byline position," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 99-105, April.
    11. Hsu, Jiann-wien & Huang, Ding-wei, 2012. "A scaling between Impact Factor and uncitedness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2129-2134.
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