IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v388y1997i6637d10.1038_40253.html
   My bibliography  Save this article

Alphabetical listing and citation rates

Author

Listed:
  • Mark Shevlin

    (Quantitative Research Group, Nottingham Trent University)

  • Mark N. O. Davies

    (Quantitative Research Group, Nottingham Trent University)

Abstract

No abstract is available for this item.

Suggested Citation

  • Mark Shevlin & Mark N. O. Davies, 1997. "Alphabetical listing and citation rates," Nature, Nature, vol. 388(6637), pages 14-14, July.
  • Handle: RePEc:nat:nature:v:388:y:1997:i:6637:d:10.1038_40253
    DOI: 10.1038/40253
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/40253
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/40253?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.

    Citations

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


    Cited by:

    1. Tolga Yuret, 2016. "Does alphabetization significantly affect academic careers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1603-1619, September.
    2. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2017. "Does your surname affect the citability of your publications?," Journal of Informetrics, Elsevier, vol. 11(1), pages 121-127.
    3. Matthias Weber, 2016. "The Effects of Listing Authors in Alphabetical Order: A survey of the Empirical Evidence," Bank of Lithuania Occasional Paper Series 12, Bank of Lithuania.
    4. Liming Liang & Junwan Liu & Ronald Rousseau, 2004. "Name order patterns of graduate candidates and supervisors in Chinese publications: A case study of three major Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 3-18, September.
    5. Andrea Fronzetti Colladon & Ciriaco Andrea D’Angelo & Peter A. Gloor, 2020. "Predicting the future success of scientific publications through social network and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 357-377, July.
    6. Liran Einav & Leeat Yariv, 2006. "What's in a Surname? The Effects of Surname Initials on Academic Success," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 175-187, Winter.

    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:nat:nature:v:388:y:1997:i:6637:d:10.1038_40253. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.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.