IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v85y2010i2d10.1007_s11192-010-0239-z.html
   My bibliography  Save this article

The iCE approach for journal evaluation

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-010-0239-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-010-0239-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. Schubert, András & Glänzel, Wolfgang, 2007. "A systematic analysis of Hirsch-type indices for journals," Journal of Informetrics, Elsevier, vol. 1(3), pages 179-184.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Star X. & Rousseau, Ronald & Ye, Fred Y., 2011. "h-Degree as a basic measure in weighted networks," Journal of Informetrics, Elsevier, vol. 5(4), pages 668-677.
    2. Gangan Prathap, 2010. "Going much beyond the Durfee square: enhancing the h T index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 149-152, July.
    3. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    4. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    5. Franceschet, Massimo, 2010. "Journal influence factors," Journal of Informetrics, Elsevier, vol. 4(3), pages 239-248.
    6. Gangan Prathap, 2010. "The 100 most prolific economists using the p-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 167-172, July.
    7. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    8. Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
    9. Liwei Cai & Jiahao Tian & Jiaying Liu & Xiaomei Bai & Ivan Lee & Xiangjie Kong & Feng Xia, 2019. "Scholarly impact assessment: a survey of citation weighting solutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 453-478, February.
    10. Alfonso Ibáñez & Pedro Larrañaga & Concha Bielza, 2011. "Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 523-551, November.
    11. Gangan Prathap, 2011. "Letter to the Editor: Comments on the paper of Franceschini and Maisano: Proposals for evaluating the regularity of a scientist’s research output," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1005-1010, September.
    12. Franceschet, Massimo, 2010. "The difference between popularity and prestige in the sciences and in the social sciences: A bibliometric analysis," Journal of Informetrics, Elsevier, vol. 4(1), pages 55-63.
    13. Gangan Prathap, 2011. "The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 515-524, June.
    14. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    15. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    16. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Journal Impact Factor Versus Eigenfactor and Article Influence," KIER Working Papers 737, Kyoto University, Institute of Economic Research.
    17. Gangan Prathap, 2011. "Quasity, when quantity has a quality all of its own—toward a theory of performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 555-562, August.
    18. Barbara McGillivray & Mathias Astell, 2019. "The relationship between usage and citations in an open access mega-journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 817-838, November.
    19. Tamara Krajna & Jelka Petrak, 2019. "Croatian Highly Cited Papers," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(3-B), pages 684-696.
    20. Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:85:y:2010:i:2:d:10.1007_s11192-010-0239-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.