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The iCE approach for journal evaluation

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  • Gangan Prathap

    (National Institute of Science Communication and Information Resources)

Abstract

Recent research has shown that simple graphical representations of research performance can be obtained using two-dimensional maps based on impact (i) and citations (C). The product of impact and citations leads to an energy term (E). Indeed, using E as the third coordinate, three-dimensional landscape maps can be prepared. In this paper, instead of using the traditional impact factor and total citations received for journal evaluation, Article InfluenceTM and EigenfactorTM are used as substitutes. Article Influence becomes a measure of quality (i.e. a proxy for impact factor) and Eigenfactor is a proxy for size/quantity (like citations) and taken together, the product is an energy-like term. This can be used to measure the influence/prestige of a journal. It is also possible to propose a p-factor (where p = E 1/3) as an alternative measure of the prestige or prominence of a journal which plays the equivalent role of the h-index.

Suggested Citation

  • Gangan Prathap, 2010. "The iCE approach for journal evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 561-565, November.
    • Handle: RePEc:spr:scient:v:85:y:2010:i:2:d:10.1007_s11192-010-0239-z
    DOI: 10.1007/s11192-010-0239-z
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    References listed on IDEAS

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    1. Philip M. Davis, 2008. "Eigenfactor: Does the principle of repeated improvement result in better estimates than raw citation counts?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2186-2188, November.
    2. Johan Bollen & Herbert Van de Sompel & Aric Hagberg & Ryan Chute, 2009. "A Principal Component Analysis of 39 Scientific Impact Measures," PLOS ONE, Public Library of Science, vol. 4(6), pages 1-11, June.
    3. Gangan Prathap, 2010. "An iCE map approach to evaluate performance and efficiency of scientific production of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 185-191, October.
    4. Chun-Yang Yin & Mohd Jindra Aris & Xi Chen, 2010. "Combination of Eigenfactor TM and h-index to evaluate scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 639-648, September.
    5. Wolfgang Glänzel, 2008. "On some new bibliometric applications of statistics related to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 187-196, October.
    6. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
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    Cited by:

    1. Fang Xu & Wenbin Liu & Ronald Rousseau, 2015. "Introducing sub-impact factor (SIF-) sequences and an aggregated SIF-indicator for journal ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1577-1593, February.

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