IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v47y2000i2d10.1023_a1005682808896.html
   My bibliography  Save this article

Using Hypertext Metrics to Measure Research Output Levels

Author

Listed:
  • Paul De Bra

    (Eindhoven University of Technology)

Abstract

Two common ways to measure the "output" of a researcher (or research group) are to count numbers of publications and to count the citations (references to these publications in publications of others). These simple methods are flawed because they cannot easily take into account the differences in publication and citation habits in different scientific communities. An alternative approach is to view citations as hypertext links, and to use or adapt hypertext metrics to compare the scientific output of researchers, in comparison to that of others in areas with similar publication and citation patterns. We show how hypertext metrics, introduced by Botafogo, Rivlin and Shneiderman, can be modified in order to identify comparable research fields based on their publication and citation pattern. An author's performance can then be compared to that of others in research fields with a similar pattern.

Suggested Citation

  • Paul De Bra, 2000. "Using Hypertext Metrics to Measure Research Output Levels," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 227-236, February.
    • Handle: RePEc:spr:scient:v:47:y:2000:i:2:d:10.1023_a:1005682808896
    DOI: 10.1023/A:1005682808896
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1005682808896
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1005682808896?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. Leo Egghe & Ronald Rousseau, 2002. "Co-citation, bibliographic coupling and a characterization of lattice citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 349-361, November.
    2. Liu, Yuxian & Rousseau, Ronald & Egghe, Leo, 2017. "Partial orders for zero-sum arrays with applications to network theory," Journal of Informetrics, Elsevier, vol. 11(1), pages 257-274.
    3. Fang Yong & Ronald Rousseau, 2001. "Lattices in citation networks: An investigation into the structure of citation graphs," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 273-287, February.

    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:spr:scient:v:47:y:2000:i:2:d:10.1023_a:1005682808896. 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.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.