IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v65y2014i12p2581-2591.html
   My bibliography  Save this article

A multidimensional approach to evaluating management journals: Refining pagerank via the differentiation of citation types and identifying the roles that management journals play

Author

Listed:
  • Brenda Cheang
  • Samuel Kai Wah Chu
  • Chongshou Li
  • Andrew Lim

Abstract

No abstract is available for this item.

Suggested Citation

  • Brenda Cheang & Samuel Kai Wah Chu & Chongshou Li & Andrew Lim, 2014. "A multidimensional approach to evaluating management journals: Refining pagerank via the differentiation of citation types and identifying the roles that management journals play," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2581-2591, December.
    • Handle: RePEc:bla:jinfst:v:65:y:2014:i:12:p:2581-2591
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23133
    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. Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 521-542, April.
    2. Brenda Cheang & Chongshou Li & Andrew Lim & Zhenzhen Zhang, 2015. "Identifying patterns and structural influences in the scientific communication of business knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 159-189, April.
    3. Brenda Cheang & Samuel Kai Wah Chu & Chongshou Li & Andrew Lim, 2014. "OR/MS journals evaluation based on a refined PageRank method: an updated and more comprehensive review," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 339-361, August.
    4. Wanjun Xia & Tianrui Li & Chongshou Li, 2023. "A review of scientific impact prediction: tasks, features and methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 543-585, January.

    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:65:y:2014:i:12:p:2581-2591. 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.