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The comparison of classification-system-based normalization procedures with source normalization alternatives in Waltman and Van Eck (2013)

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  • Ruiz-Castillo, Javier

Abstract

Waltman & Van Eck, in press, contains a systematic large-scale empirical comparison of classification-system-based versus source normalization procedures. A source-normalization procedure SNCS performs better than a normalization procedure based on the system where publications are classified into fields according to the journal subject categories in the Web of Science bibliographic database. Using the same data and the same methods, in this note we confront SNCS with the best possible procedure among those based on three available algorithmic classification systems. Our conclusions raise some doubts concerning the idea that source normalization procedures are ready to supplant their classification-system-based alternatives.

Suggested Citation

  • Ruiz-Castillo, Javier, 2013. "The comparison of classification-system-based normalization procedures with source normalization alternatives in Waltman and Van Eck (2013)," UC3M Working papers. Economics we1318, Universidad Carlos III de Madrid. Departamento de Economía.
    • Handle: RePEc:cte:werepe:we1318
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    References listed on IDEAS

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    1. Filippo Radicchi & Claudio Castellano, 2012. "A Reverse Engineering Approach to the Suppression of Citation Biases Reveals Universal Properties of Citation Distributions," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-9, March.
    2. Li, Yunrong & Ruiz-Castillo, Javier, 2013. "The comparison of normalization procedures based on different classification systems," Journal of Informetrics, Elsevier, vol. 7(4), pages 945-958.
    3. Waltman, Ludo & van Eck, Nees Jan, 2013. "A systematic empirical comparison of different approaches for normalizing citation impact indicators," Journal of Informetrics, Elsevier, vol. 7(4), pages 833-849.
    4. Ludo Waltman & Nees Jan van Eck, 2012. "A new methodology for constructing a publication‐level classification system of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    5. Li, Yunrong & Radicchi, Filippo & Castellano, Claudio & Ruiz-Castillo, Javier, 2013. "Quantitative evaluation of alternative field normalization procedures," Journal of Informetrics, Elsevier, vol. 7(3), pages 746-755.
    6. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    7. 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.
    8. Ludo Waltman & Nees Jan Eck, 2013. "Source normalized indicators of citation impact: an overview of different approaches and an empirical comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 699-716, September.
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    Cited by:

    1. Perianes-Rodríguez, Antonio & Ruiz-Castillo, Javier, 2014. "Within and across department variability in individual productivity : the case of economics," UC3M Working papers. Economics we1404, Universidad Carlos III de Madrid. Departamento de Economía.
    2. Cristian Colliander & Per Ahlgren, 2019. "Comparison of publication-level approaches to ex-post citation normalization," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 283-300, July.
    3. 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.
    4. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    5. Yuanyuan Liu & Qiang Wu & Shijie Wu & Yong Gao, 2021. "Weighted citation based on ranking-related contribution: a new index for evaluating article impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8653-8672, October.
    6. Antonio Perianes-Rodriguez & Javier Ruiz-Castillo, 2015. "Within- and between-department variability in individual productivity: the case of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1497-1520, February.
    7. Ruiz-Castillo, Javier & Waltman, Ludo, 2015. "Field-normalized citation impact indicators using algorithmically constructed classification systems of science," Journal of Informetrics, Elsevier, vol. 9(1), pages 102-117.
    8. Hu, Zhigang & Tian, Wencan & Xu, Shenmeng & Zhang, Chunbo & Wang, Xianwen, 2018. "Four pitfalls in normalizing citation indicators: An investigation of ESI’s selection of highly cited papers," Journal of Informetrics, Elsevier, vol. 12(4), pages 1133-1145.

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