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The comparison of normalization procedures based on different classification systems

  • Yunrong Li
  • Javier Ruiz-Castillo

In this paper, we develop a new methodology for comparing normalization procedures based on different classification systems. Firstly, a pair of normalization procedures should be compared using their own classification systems for evaluation purposes. Secondly, when the two procedures are noncomparable according to the above test, then evaluation using a third (or more) classification systems may be forthcoming. In the empirical part of the paper we use: (i) the IDCP method for the evaluation of normalization procedures; (ii) two nested classification systems consisting of 219 sub-fields and 19 fields, together with a systematic and a random assignment of articles to sub-fields (or fields) with the aim of maximizing or minimizing differences across sub-fields (or fields); (iii) six normalization procedures using mean citations in each of the classification systems as normalization factors, and (iv) a large dataset, indexed by Thomson Reuters, in which 4.4 million articles published in 1998-2003 with a five-year citation window are assigned to Web of Science subject-categories, or sub-fields using a fractional approach. The results obtained indicate that this methodology may lead to useful conclusions in specific instances.

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Paper provided by Universidad Carlos III, Departamento de Economía in its series Economics Working Papers with number we1306.

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Date of creation: Feb 2013
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Handle: RePEc:cte:werepe:we1306
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  1. Juan A. Crespo & Neus Herranz & Yunrongs Li & Javier Ruiz-Castillo, 2013. "The effect on citation inequality of differences in citation practices at the Web of Sciences subject category level," Economics Working Papers we1303, Universidad Carlos III, Departamento de Economía.
  2. 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.
  3. 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.
  4. Moed, H. F. & Burger, W. J. M. & Frankfort, J. G. & Van Raan, A. F. J., 1985. "The use of bibliometric data for the measurement of university research performance," Research Policy, Elsevier, vol. 14(3), pages 131-149, June.
  5. Albarrán, Pedro & Crespo, Juan A. & Ortuño-Ortín, Ignacio & Ruiz-Castillo, Javier, 2010. "The Skewness of Science in 219 Sub-Fields and a Number of Aggregates," CEPR Discussion Papers 8126, C.E.P.R. Discussion Papers.
  6. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
  7. 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.
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