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Some modifications to the SNIP journal impact indicator

Author

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  • Waltman, Ludo
  • van Eck, Nees Jan
  • van Leeuwen, Thed N.
  • Visser, Martijn S.

Abstract

The SNIP (source normalized impact per paper) indicator is an indicator of the citation impact of scientific journals. The indicator, introduced by Henk Moed in 2010, is included in Elsevier's Scopus database. The SNIP indicator uses a source normalized approach to correct for differences in citation practices between scientific fields. The strength of this approach is that it does not require a field classification system in which the boundaries of fields are explicitly defined.

Suggested Citation

  • Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S., 2013. "Some modifications to the SNIP journal impact indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 272-285.
    • Handle: RePEc:eee:infome:v:7:y:2013:i:2:p:272-285
    DOI: 10.1016/j.joi.2012.11.011
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    References listed on IDEAS

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    1. Loet Leydesdorff & Tobias Opthof, 2010. "Scopus's source normalized impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(11), pages 2365-2369, November.
    2. Loet Leydesdorff & Tobias Opthof, 2011. "Scopus' SNIP indicator: Reply to Moed," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 214-215, January.
    3. Loet Leydesdorff & Lutz Bornmann, 2011. "How fractional counting of citations affects the impact factor: Normalization in terms of differences in citation potentials among fields of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 217-229, February.
    4. Henk F. Moed, 2011. "The source normalized impact per paper is a valid and sophisticated indicator of journal citation impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(1), pages 211-213, January.
    5. 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.
    6. Ludo Waltman & Nees Jan van Eck, 2010. "The relation between Eigenfactor, audience factor, and influence weight," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1476-1486, July.
    7. Zitt, Michel, 2010. "Citing-side normalization of journal impact: A robust variant of the Audience Factor," Journal of Informetrics, Elsevier, vol. 4(3), pages 392-406.
    8. M. Zitt, 2011. "Behind citing-side normalization of citations: some properties of the journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 329-344, October.
    9. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    10. 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.
    11. Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2012. "A further step forward in measuring journals’ scientific prestige: The SJR2 indicator," Journal of Informetrics, Elsevier, vol. 6(4), pages 674-688.
    12. Henk F. Moed, 2011. "The source normalized impact per paper is a valid and sophisticated indicator of journal citation impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(1), pages 211-213, January.
    13. 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.
    14. Wolfgang Glänzel & András Schubert & Bart Thijs & Koenraad Debackere, 2011. "A priori vs. a posteriori normalisation of citation indicators. The case of journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(2), pages 415-424, May.
    15. Waltman, Ludo & van Eck, Nees Jan & van Leeuwen, Thed N. & Visser, Martijn S. & van Raan, Anthony F.J., 2011. "Towards a new crown indicator: Some theoretical considerations," Journal of Informetrics, Elsevier, vol. 5(1), pages 37-47.
    16. González-Pereira, Borja & Guerrero-Bote, Vicente P. & Moya-Anegón, Félix, 2010. "A new approach to the metric of journals’ scientific prestige: The SJR indicator," Journal of Informetrics, Elsevier, vol. 4(3), pages 379-391.
    17. Thierry Marchant, 2009. "An axiomatic characterization of the ranking based on the h-index and some other bibliometric rankings of authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 325-342, August.
    18. Loet Leydesdorff & Jung C. Shin, 2011. "How to evaluate universities in terms of their relative citation impacts: Fractional counting of citations and the normalization of differences among disciplines," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(6), pages 1146-1155, June.
    19. Michel Zitt & Henry Small, 2008. "Modifying the journal impact factor by fractional citation weighting: The audience factor," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1856-1860, September.
    20. Ludo Waltman & Nees Jan van Eck, 2010. "The relation between Eigenfactor, audience factor, and influence weight," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1476-1486, July.
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