IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v84y2010i1d10.1007_s11192-009-0072-4.html
   My bibliography  Save this article

A reference-based Hirschian similarity measure for journals

Author

Listed:
  • András Schubert

    (Hungarian Academy of Sciences)

Abstract

Hirsch’s concept of h-index was used to define a similarity measure for journals. The h-similarity is easy to calculate from the publicly available data of the Journal Citation Reports, and allows for plausible interpretation. On the basis of h-similarity, a relative eminence indicator of journals was determined: the ratio of the JCR impact factor to the weighted average of that of similar journals. This standardization allows journals from disciplines with lower average citation level (mathematics, engineering, etc.) to get into the top lists.

Suggested Citation

  • András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.
  • Handle: RePEc:spr:scient:v:84:y:2010:i:1:d:10.1007_s11192-009-0072-4
    DOI: 10.1007/s11192-009-0072-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0072-4
    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/s11192-009-0072-4?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. Lin Zhang & Wolfgang Glänzel & Liming Liang, 2009. "Tracing the role of individual journals in a cross-citation network based on different indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 821-838, December.
    2. Katherine W. McCain, 1991. "Mapping economics through the journal literature: An experiment in journal cocitation analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(4), pages 290-296, May.
    3. P. Vinkler, 1999. "Ratio of short term and long term impact factors and similarities of chemistry journals represented by references," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 621-633, November.
    4. Alexander I. Pudovkin & Eugene Garfield, 2002. "Algorithmic procedure for finding semantically related journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(13), pages 1113-1119, November.
    5. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    6. Loet Leydesdorff, 2006. "Can scientific journals be classified in terms of aggregated journal‐journal citation relations using the Journal Citation Reports?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(5), pages 601-613, March.
    7. Graeme Hirst, 1978. "Discipline impact factors: A method for determining core journal lists," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 29(4), pages 171-172, July.
    8. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    9. Korn, A. & Schubert, A. & Telcs, A., 2009. "Lobby index in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(11), pages 2221-2226.
    10. Mark P. Carpenter & Francis Narin, 1973. "Clustering of scientific journals," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(6), pages 425-436, November.
    11. András Schubert & András Korn & András Telcs, 2009. "Hirsch-type indices for characterizing networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 375-382, February.
    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. 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. András Schubert, 2013. "Measuring the similarity between the reference and citation distributions of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 305-313, July.
    3. Boris Forthmann & Mark A. Runco, 2020. "An Empirical Test of the Inter-Relationships between Various Bibliometric Creative Scholarship Indicators," Publications, MDPI, vol. 8(2), pages 1-16, June.
    4. András Schubert, 2012. "A Hirsch-type index of co-author partnership ability," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 303-308, April.
    5. András Schubert & Sándor Soós, 2010. "Mapping of science journals based on h-similarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 589-600, May.

    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. Lin Zhang & Frizo Janssens & Liming Liang & Wolfgang Glänzel, 2010. "Journal cross-citation analysis for validation and improvement of journal-based subject classification in bibliometric research," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 687-706, March.
    2. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    3. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    4. Wolfgang Glänzel, 2012. "The role of core documents in bibliometric network analysis and their relation with h-type indices," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 113-123, October.
    5. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    6. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    7. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    8. 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.
    9. Raymundo das Neves Machado & Benjamín Vargas-Quesada & Jacqueline Leta, 2016. "Intellectual structure in stem cell research: exploring Brazilian scientific articles from 2001 to 2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 525-537, February.
    10. András Schubert, 2015. "Rescaling the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1647-1653, February.
    11. Perianes-Rodriguez, Antonio & Ruiz-Castillo, Javier, 2017. "A comparison of the Web of Science and publication-level classification systems of science," Journal of Informetrics, Elsevier, vol. 11(1), pages 32-45.
    12. András Schubert, 2015. "X-centage: a Hirsch-inspired indicator for distributions of percentage-valued variables and its use for measuring heterodisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 307-313, January.
    13. Рубинштейн Александр Яковлевич, "undated". "Ранжирование Российских Экономических Журналов: Научный Метод Или «Игра В Цыфирь»? [Ran Ranking of Russian Economic Journals: The Scientific Method or “Numbers Game”?]," Working papers a:pru175:ye:2016:1, Institute of Economics.
    14. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).
    15. Rosa Rodriguez-Sánchez & J. A. García & J. Fdez-Valdivia, 2014. "Evolutionary games between subject categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 869-888, October.
    16. Rey-Martí, Andrea & Ribeiro-Soriano, Domingo & Palacios-Marqués, Daniel, 2016. "A bibliometric analysis of social entrepreneurship," Journal of Business Research, Elsevier, vol. 69(5), pages 1651-1655.
    17. Dorta-González, P. & Dorta-González, M.I., 2013. "Impact maturity times and citation time windows: The 2-year maximum journal impact factor," Journal of Informetrics, Elsevier, vol. 7(3), pages 593-602.
    18. Klaus Ritzberger, 2008. "A Ranking of Journals in Economics and Related Fields," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 402-430, November.
    19. Yu-Wei Chang, 2019. "Are articles in library and information science (LIS) journals primarily contributed to by LIS authors?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 81-104, October.
    20. Wolfram, Dietmar & Zhao, Yuehua, 2014. "A comparison of journal similarity across six disciplines using citing discipline analysis," Journal of Informetrics, Elsevier, vol. 8(4), pages 840-853.

    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:84:y:2010:i:1:d:10.1007_s11192-009-0072-4. 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.