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Regularity in the research output of individual scientists: An empirical analysis by recent bibliometric tools

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  • Franceschini, Fiorenzo
  • Maisano, Domenico

Abstract

This paper proposes an empirical analysis of several scientists based on their time regularity, defined as the ability of generating an active and stable research output over time, in terms of both quantity/publications and impact/citations. In particular, we empirically analyse three recent bibliometric tools to perform qualitative/quantitative evaluations under the new perspective of regularity. These tools are respectively (1) the PY/CY diagram, (2) the publication/citation Ferrers diagram and triad indicators, and (3) a year-by-year comparison of the scientists’ output (Borda's ranking). Results of the regularity analysis are then compared with those obtained under the classical perspective of overall production.

Suggested Citation

  • Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Regularity in the research output of individual scientists: An empirical analysis by recent bibliometric tools," Journal of Informetrics, Elsevier, vol. 5(3), pages 458-468.
    • Handle: RePEc:eee:infome:v:5:y:2011:i:3:p:458-468
    DOI: 10.1016/j.joi.2011.04.004
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    1. Bornmann, Lutz & Marx, Werner & Schier, Hermann & Rahm, Erhard & Thor, Andreas & Daniel, Hans-Dieter, 2009. "Convergent validity of bibliometric Google Scholar data in the field of chemistry—Citation counts for papers that were accepted by Angewandte Chemie International Edition or rejected but published els," Journal of Informetrics, Elsevier, vol. 3(1), pages 27-35.
    2. Jean-Charles Billaut & Denis Bouyssou & Philippe Vincke, 2010. "Should you believe in the Shanghai ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 237-263, July.
    3. Franceschini, Fiorenzo & Maisano, Domenico A., 2010. "Analysis of the Hirsch index's operational properties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 494-504, June.
    4. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    5. Paula E. Stephan, 2008. "Science and the University: Challenges for Future Research," CESifo Economic Studies, CESifo Group, vol. 54(2), pages 313-324, June.
    6. Fiorenzo Franceschini & Maurizio Galetto & Domenico Maisano, 2007. "Management by Measurement," Springer Books, Springer, number 978-3-540-73212-9, June.
    7. repec:dau:papers:123456789/2947 is not listed on IDEAS
    8. 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.
    9. Egghe, L., 2010. "Conjugate partitions in informetrics: Lorenz curves, h-type indices, Ferrers graphs and Durfee squares in a discrete and continuous setting," Journal of Informetrics, Elsevier, vol. 4(3), pages 320-330.
    10. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The citation triad: An overview of a scientist's publication output based on Ferrers diagrams," Journal of Informetrics, Elsevier, vol. 4(4), pages 503-511.
    11. Lutz Bornmann, 2011. "Mimicry in science?," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 173-177, January.
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