IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v23y1972i5p313-317.html
   My bibliography  Save this article

A bibliometric analysis of certain information science literature

Author

Listed:
  • Joseph C. Donohue

Abstract

Several bibliometric techniques previously applied to separate scientific literatures were used together in the analysis of a single corpus of journal articles relating to information science. Techniques included were (a) Bradford analysis, (b) epidemic analysis, (c) identification of research front, and (d) bibliographic coupling. Similar analysis was made of writings cited by the main corpus articles, and of the literature which in turn cites the main corpus. Results were analyzed in terms of structure and processes observable in patterns of authorship, publication, and citation. Their significance is discussed with potential application of the method to the solution of problems in the management of large research libraries.

Suggested Citation

  • Joseph C. Donohue, 1972. "A bibliometric analysis of certain information science literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 23(5), pages 313-317, September.
    • Handle: RePEc:bla:jamest:v:23:y:1972:i:5:p:313-317
    DOI: 10.1002/asi.4630230506
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.4630230506
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.4630230506?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
    ---><---

    Citations

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


    Cited by:

    1. Umar Nawaz Kayani & Misbah Sadiq & Mustafa Raza Rabbani & Ahmet Faruk Aysan & Farrukh Nawaz Kayani, 2023. "Examining the Relationship between Economic Growth, Financial Development, and Carbon Emissions: A Review of the Literature and Scientometric Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 489-499, March.
    2. P. Ebin Babu & Riya Mary, 2022. "Exploring the Research Trends in Green Tax: Bibliometric Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 157-162, November.
    3. Ying Wei & Anlu Zhang & Yan Ma, 2023. "A Bibliometric Review of Rural Living Environment Improvement Research in China Based on CNKI Database: 1992–2022," Sustainability, MDPI, vol. 15(8), pages 1-22, April.

    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:jamest:v:23:y:1972:i:5:p:313-317. 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.