IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v61y2010i7p1476-1486.html
   My bibliography  Save this article

The relation between Eigenfactor, audience factor, and influence weight

Author

Listed:
  • Ludo Waltman
  • Nees Jan van Eck

Abstract

No abstract is available for this item.

Suggested Citation

  • Ludo Waltman & Nees Jan van Eck, 2010. "The relation between Eigenfactor, audience factor, and influence weight," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1476-1486, July.
    • Handle: RePEc:bla:jinfst:v:61:y:2010:i:7:p:1476-1486
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Damien Besancenot & Abdelghani Maddi, 2019. "Should citations be weighted to assess the influence of an academic article?," Economics Bulletin, AccessEcon, vol. 435(1), pages 435-445.
    2. Walters, William H., 2014. "Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?," Journal of Informetrics, Elsevier, vol. 8(2), pages 421-430.
    3. Carmen Herrero & Antonio Villar, 2013. "On the Comparison of Group Performance with Categorical Data," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-7, December.
    4. 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.
    5. P. Dorta-González & M. I. Dorta-González, 2013. "Comparing journals from different fields of science and social science through a JCR subject categories normalized impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 645-672, May.
    6. Antonin Mac'e, 2017. "The Limits of Citation Counts," Papers 1711.02695, arXiv.org, revised Sep 2023.
    7. Gabriel-Alexandru Vîiu & Mihai Păunescu, 2021. "The citation impact of articles from which authors gained monetary rewards based on journal metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4941-4974, June.
    8. 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.
    9. J. M. Calabuig & A. Ferrer-Sapena & E. A. Sánchez-Pérez, 2016. "Vector-valued impact measures and generation of specific indexes for research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1425-1443, September.
    10. Vanclay, Jerome K., 2012. "Publication patterns of award-winning forest scientists and implications for the Australian ERA journal ranking," Journal of Informetrics, Elsevier, vol. 6(1), pages 19-26.
    11. Tahamtan, Iman & Bornmann, Lutz, 2018. "Creativity in science and the link to cited references: Is the creative potential of papers reflected in their cited references?," Journal of Informetrics, Elsevier, vol. 12(3), pages 906-930.
    12. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
    13. repec:hal:cepnwp:hal-01922259 is not listed on IDEAS
    14. 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.
    15. Vaccario, Giacomo & Medo, Matúš & Wider, Nicolas & Mariani, Manuel Sebastian, 2017. "Quantifying and suppressing ranking bias in a large citation network," Journal of Informetrics, Elsevier, vol. 11(3), pages 766-782.
    16. Tom Z. J. Fu & Qianqian Song & Dah Ming Chiu, 2014. "The academic social network," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 203-239, October.
    17. 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.

    More about this item

    Statistics

    Access and download statistics

    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:bla:jinfst:v:61:y:2010:i:7:p:1476-1486. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.