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Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined

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  • Fabio Zagonari

    (Dipartimento di Scienze Economiche, Università di Bologna, via Angherà 22, 47921 Rimini, Italy)

Abstract

In this study, I developed operational versions of Gini’s and Hirsch’s indexes that can be applied to characterize each researcher’s publication history (PH) as heterodox, orthodox, and interdisciplinary. In addition, the new indicators warn against anomalies that potentially arise from tactical or opportunistic citation and publication behaviors by authors and editors, and can be calculated from readily available information. I split the original Hirsch index into nested indexes to isolate networking activity, as well as to distinguish scientific production (number of articles) from scientific productivity (rate of production), and used nested Gini indexes to identify intentional and successful intertopical and interdisciplinary research. I applied the most popular standardizations (i.e., per author and per year), and used simple methodologies (i.e., least-squares linear and cubic fitting, whole-career vs. subperiods, two-dimensional graphs). I provide three representative numerical examples based on an orthodox multidisciplinary PH, a heterodox PH from the social sciences, and an orthodox unidisciplinary PH from the physical sciences. Two additional numerical examples based on PHs from the life and health sciences show that the suggested PH characterization can be applied to different disciplines where different publication and citation practices prevail. Software is provided to help readers explore the use of these indicators.

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  • Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.
  • Handle: RePEc:gam:jpubli:v:7:y:2019:i:2:p:32-:d:228216
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    1. Bouyssou, Denis & Marchant, Thierry, 2016. "Ranking authors using fractional counting of citations: An axiomatic approach," Journal of Informetrics, Elsevier, vol. 10(1), pages 183-199.
    2. Upul Senanayake & Mahendra Piraveenan & Albert Zomaya, 2015. "The Pagerank-Index: Going beyond Citation Counts in Quantifying Scientific Impact of Researchers," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-34, August.
    3. Loet Leydesdorff & Caroline S. Wagner & Lutz Bornmann, 2018. "Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 567-592, February.
    4. Noriyuki Morichika & Sotaro Shibayama, 2015. "Impact of inbreeding on scientific productivity: A case study of a Japanese university department," Research Evaluation, Oxford University Press, vol. 24(2), pages 146-157.
    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. Kongo, Takumi, 2014. "An alternative axiomatization of the Hirsch index," Journal of Informetrics, Elsevier, vol. 8(1), pages 252-258.
    7. 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.
    8. Schreiber, Michael, 2014. "How to improve the outcome of performance evaluations in terms of percentiles for citation frequencies of my papers," Journal of Informetrics, Elsevier, vol. 8(4), pages 873-879.
    9. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "What makes a great journal great in the sciences? Which came first, the chicken or the egg?," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 17-40, April.
    10. Finardi, Ugo, 2013. "Correlation between Journal Impact Factor and Citation Performance: An experimental study," Journal of Informetrics, Elsevier, vol. 7(2), pages 357-370.
    11. Gangan Prathap, 2014. "Measures for impact, consistency, and the h- and g-indices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(5), pages 1076-1078, May.
    12. McCarty, Christopher & Jawitz, James W., 2013. "Attitudes about publishing and normal science advancement," Journal of Informetrics, Elsevier, vol. 7(4), pages 850-858.
    13. Schreiber, Michael, 2014. "Is the new citation-rank approach P100′ in bibliometrics really new?," Journal of Informetrics, Elsevier, vol. 8(4), pages 997-1004.
    14. Domenico De Stefano & Susanna Zaccarin, 2016. "Co-authorship networks and scientific performance: an empirical analysis using the generalized extreme value distribution," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(1), pages 262-279, January.
    15. Schreiber, Michael, 2014. "Examples for counterintuitive behavior of the new citation-rank indicator P100 for bibliometric evaluations," Journal of Informetrics, Elsevier, vol. 8(3), pages 738-748.
    16. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    17. Giulio Cainelli & Mario A. Maggioni & T. Erika Uberti & Annunziata Felice, 2015. "The strength of strong ties: How co-authorship affect productivity of academic economists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 673-699, January.
    18. 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.
    19. Anne-Wil Harzing & Satu Alakangas & David Adams, 2014. "hIa: an individual annual h-index to accommodate disciplinary and career length differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 811-821, June.
    20. James C. Ryan, 2016. "A validation of the individual annual h-index (hIa): application of the hIa to a qualitatively and quantitatively different sample," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 577-590, October.
    21. Björn Hammarfelt & Gaby Haddow, 2018. "Conflicting measures and values: How humanities scholars in Australia and Sweden use and react to bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(7), pages 924-935, July.
    22. Gagolewski, Marek & Mesiar, Radko, 2012. "Aggregating different paper quality measures with a generalized h-index," Journal of Informetrics, Elsevier, vol. 6(4), pages 566-579.
    23. Gagolewski, Marek, 2013. "Scientific impact assessment cannot be fair," Journal of Informetrics, Elsevier, vol. 7(4), pages 792-802.
    24. Radicchi, Filippo & Castellano, Claudio, 2012. "Testing the fairness of citation indicators for comparison across scientific domains: The case of fractional citation counts," Journal of Informetrics, Elsevier, vol. 6(1), pages 121-130.
    25. Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Zhang, Lin, 2018. "A comparison of two approaches for measuring interdisciplinary research output: The disciplinary diversity of authors vs the disciplinary diversity of the reference list," Journal of Informetrics, Elsevier, vol. 12(4), pages 1182-1193.
    26. Petersen, Alexander M. & Succi, Sauro, 2013. "The Z-index: A geometric representation of productivity and impact which accounts for information in the entire rank-citation profile," Journal of Informetrics, Elsevier, vol. 7(4), pages 823-832.
    27. Yang, Jiansheng & Vannier, Michael W. & Wang, Fang & Deng, Yan & Ou, Fengrong & Bennett, James & Liu, Yang & Wang, Ge, 2013. "A bibliometric analysis of academic publication and NIH funding," Journal of Informetrics, Elsevier, vol. 7(2), pages 318-324.
    28. Wagner, Caroline S. & Roessner, J. David & Bobb, Kamau & Klein, Julie Thompson & Boyack, Kevin W. & Keyton, Joann & Rafols, Ismael & Börner, Katy, 2011. "Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature," Journal of Informetrics, Elsevier, vol. 5(1), pages 14-26.
    29. Björn Hammarfelt & Sarah de Rijcke, 2015. "Accountability in context: effects of research evaluation systems on publication practices, disciplinary norms, and individual working routines in the faculty of Arts at Uppsala University," Research Evaluation, Oxford University Press, vol. 24(1), pages 63-77.
    30. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    31. Lando, Tommaso & Bertoli-Barsotti, Lucio, 2017. "Measuring the citation impact of journals with generalized Lorenz curves," Journal of Informetrics, Elsevier, vol. 11(3), pages 689-703.
    32. Gangan Prathap, 2012. "The quality-quantity-quasity and energy-exergy-entropy exegesis of expected value calculation of citation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 269-275, April.
    33. Schreiber, Michael, 2013. "How to derive an advantage from the arbitrariness of the g-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 555-561.
    34. Yan, Xiangbin & Zhai, Li & Fan, Weiguo, 2013. "C-index: A weighted network node centrality measure for collaboration competence," Journal of Informetrics, Elsevier, vol. 7(1), pages 223-239.
    35. Raquel Carrasco & Javier Ruiz-Castillo, 2014. "The Evolution Of The Scientific Productivity Of Highly Productive Economists," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 1-16, January.
    36. Ruth Müller & Sarah de Rijcke, 2017. "Exploring the epistemic impacts of academic performance indicators in the life sciences," Research Evaluation, Oxford University Press, vol. 26(3), pages 157-168.
    37. Sangwal, Keshra, 2013. "Citation and impact factor distributions of scientific journals published in individual countries," Journal of Informetrics, Elsevier, vol. 7(2), pages 487-504.
    38. Xuan Zhen Liu & Hui Fang, 2012. "Fairly sharing the credit of multi-authored papers and its application in the modification of h-index and g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 37-49, April.
    39. Loet Leydesdorff, 2018. "Diversity and interdisciplinarity: how can one distinguish and recombine disparity, variety, and balance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 2113-2121, September.
    40. Giancarlo Ruocco & Cinzia Daraio, 2013. "An empirical approach to compare the performance of heterogeneous academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 601-625, December.
    41. Bornmann, Lutz & Marx, Werner, 2015. "Methods for the generation of normalized citation impact scores in bibliometrics: Which method best reflects the judgements of experts?," Journal of Informetrics, Elsevier, vol. 9(2), pages 408-418.
    42. Michael Schreiber, 2013. "Do we need the g-index?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(11), pages 2396-2399, November.
    43. Hajar Sotudeh & Nahid Khoshian, 2014. "Gender, web presence and scientific productivity in nanoscience and nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 717-736, June.
    44. Giovanni Abramo & Ciriaco Andrea D’Angelo & Fulvio Viel, 2013. "The suitability of h and g indexes for measuring the research performance of institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 555-570, December.
    45. Giovanni Anania & Annarosa Caruso, 2013. "Two simple new bibliometric indexes to better evaluate research in disciplines where publications typically receive less citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 617-631, August.
    46. Jacques Wainer & Paula Vieira, 2013. "Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 395-410, August.
    47. Liu, Yu & Yang, Yongliang, 2014. "Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance," Journal of Informetrics, Elsevier, vol. 8(3), pages 478-485.
    48. Alex De Visscher, 2011. "What does the g-index really measure?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(11), pages 2290-2293, November.
    49. M. A. Martínez & M. Herrera & J. López-Gijón & E. Herrera-Viedma, 2014. "H-Classics: characterizing the concept of citation classics through H-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1971-1983, March.
    50. Thelwall, Mike & Wilson, Paul, 2014. "Regression for citation data: An evaluation of different methods," Journal of Informetrics, Elsevier, vol. 8(4), pages 963-971.
    51. Ronald Rousseau, 2015. "Egghe's g-index is not a proper concentration measure," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1518-1519, July.
    52. Daniel Sutter, 2012. "Different but Equal? On the Contribution of Dissident Economists," American Journal of Economics and Sociology, Wiley Blackwell, vol. 71(5), pages 1143-1156, November.
    53. Ludo Waltman & Nees Jan van Eck, 2012. "The inconsistency of the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(2), pages 406-415, February.
    54. Ruth Müller & Sarah de Rijcke, 2017. "Thinking with Indicators. Exploring the Epistemic Impacts of Academic Performance Indicators in the Life Sciences," Research Evaluation, Oxford University Press, vol. 26(4), pages 361-361.
    55. Antonio Abatemarco & Roberto Dell'Anno, 2013. "A Bibliometric Evaluation of the Research Outputs of Italian Economists," Economia politica, Società editrice il Mulino, issue 1, pages 97-126.
    56. András Schubert, 2012. "A Hirsch-type index of co-author partnership ability," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 303-308, April.
    57. Bornmann, Lutz & Haunschild, Robin, 2016. "Citation score normalized by cited references (CSNCR): The introduction of a new citation impact indicator," Journal of Informetrics, Elsevier, vol. 10(3), pages 875-887.
    58. 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.
    59. L. Egghe, 2013. "A rationale for the relation between the citer h-index and the classical h-index of a researcher," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 873-876, March.
    60. Allison L. Hopkins & James W. Jawitz & Christopher McCarty & Alex Goldman & Nandita B. Basu, 2013. "Disparities in publication patterns by gender, race and ethnicity based on a survey of a random sample of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 515-534, August.
    61. Lorna Wildgaard, 2015. "A comparison of 17 author-level bibliometric indicators for researchers in Astronomy, Environmental Science, Philosophy and Public Health in Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 873-906, September.
    62. Wildgaard, Lorna, 2016. "A critical cluster analysis of 44 indicators of author-level performance," Journal of Informetrics, Elsevier, vol. 10(4), pages 1055-1078.
    63. M Schreiber & C C Malesios & S Psarakis, 2011. "Categorizing h-index variants," Research Evaluation, Oxford University Press, vol. 20(5), pages 397-409, December.
    64. Ko, Young Man & Park, Ji Young, 2013. "An index for evaluating journals in a small domestic citation index database whose citation rate is generally very low: A test based on the Korea Citation Index (KCI) database," Journal of Informetrics, Elsevier, vol. 7(2), pages 404-411.
    65. Justin W. Flatt & Alessandro Blasimme & Effy Vayena, 2017. "Improving the Measurement of Scientific Success by Reporting a Self-Citation Index," Publications, MDPI, vol. 5(3), pages 1-6, August.
    66. Félix Moya-Anegón & Carmen López-Illescas & Henk F. Moed, 2014. "How to interpret the position of private sector institutions in bibliometric rankings of research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 283-298, January.
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