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The Impact Factor as a measuring tool of the prestige of the journals in research assessment in mathematics

Author

Listed:
  • Antonia Ferrer-Sapena
  • Enrique A. Sánchez-Pérez
  • Fernanda Peset
  • Luis-Millán González
  • Rafael Aleixandre-Benavent

Abstract

The (2-year) Impact Factor of Thomson-Reuters (IF) has become the fundamental tool for analysing the scientific production of academic researchers in a lot of countries. In this article we show that this index and the ordering criterion obtained by using it are highly unstable in the case of mathematics, to the extent that sometimes no reliability can be assigned to its use. We explain the reasons of this behaviour by the specific properties of the mathematical journals and publications, attending mainly the point of view of the researchers in pure mathematics. Using the Journal Citation Report list of journals as a source of information, we analyse the stability in the position of the mathematical journals—the so-called rank-normalized impact factor—compared with journals in applied physics and microbiology during the period 2002–12. Due to the lack of stability of the position of the journals of mathematics in these lists, we propose a ‘cumulative index’ that fits better the characteristics of mathematical journals. The computation of this index uses the values of the IF of the journals in previous years, providing in this way a more stable indicator.

Suggested Citation

  • Antonia Ferrer-Sapena & Enrique A. Sánchez-Pérez & Fernanda Peset & Luis-Millán González & Rafael Aleixandre-Benavent, 2016. "The Impact Factor as a measuring tool of the prestige of the journals in research assessment in mathematics," Research Evaluation, Oxford University Press, vol. 25(3), pages 306-314.
    • Handle: RePEc:oup:rseval:v:25:y:2016:i:3:p:306-314.
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    File URL: http://hdl.handle.net/10.1093/reseval/rvv041
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    Citations

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    Cited by:

    1. Minxian Zheng & Kuangji Zhao & Shikui Zhao & Yantong Zhang, 2020. "Effecting variables of journal’s ranking in forestry field," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 135-151, October.
    2. J. M. Calabuig & A. Ferrer-Sapena & E. A. Sánchez-Pérez, 2016. "Vector-valued impact measures and generation of specific indexes for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1425-1443, September.
    3. Ying Huang & Donghua Zhu & Qi Lv & Alan L. Porter & Douglas K. R. Robinson & Xuefeng Wang, 2017. "Early insights on the Emerging Sources Citation Index (ESCI): an overlay map-based bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2041-2057, June.
    4. A. Ferrer-Sapena & J. M. Calabuig & L. M. García Raffi & E. A. Sánchez Pérez, 2020. "Where Should I Submit My Work for Publication? An Asymmetrical Classification Model to Optimize Choice," Journal of Classification, Springer;The Classification Society, vol. 37(2), pages 490-508, July.
    5. Yurij L. Katchanov & Yulia V. Markova, 2017. "The “space of physics journals”: topological structure and the Journal Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 313-333, October.

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