IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v40y1989i6p379-385.html
   My bibliography  Save this article

Bibliometric modeling processes and the empirical validity of Lotka's Law

Author

Listed:
  • Paul Travis Nicholls

Abstract

A considerable literature exists on the empirical validity of Lotka's law; however, these studies are mainly incomparable and inconclusive, owing to substantial differences in the analytical methods applied. The main elements involved in fitting a bibliometric model to empirical data are: specification of the model, measurement of the variables, organization of the data, parameter estimation, and assessing goodness‐of‐fit. Each of these modeling variables is examined, a consistent methodology for applying Lotka's law is proposed, and the results of an empirical test are described. These results support the empirical validity and generality of Lotka's law as well as the suitability of the proposed methodology. © 1989 John Wiley & Sons, Inc.

Suggested Citation

  • Paul Travis Nicholls, 1989. "Bibliometric modeling processes and the empirical validity of Lotka's Law," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(6), pages 379-385, November.
    • Handle: RePEc:bla:jamest:v:40:y:1989:i:6:p:379-385
    DOI: 10.1002/(SICI)1097-4571(198911)40:63.0.CO;2-Q
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1097-4571(198911)40:63.0.CO;2-Q
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1097-4571(198911)40:63.0.CO;2-Q?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. Jun Ma & Jianpeng Zhang & Jinliang Wang & Vadim Khromykh & Jie Li & Xuzheng Zhong, 2023. "Global Leaf Area Index Research over the Past 75 Years: A Comprehensive Review and Bibliometric Analysis," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    2. Mauricio Olivares Faúndez & Hanns de la Fuente-Mella, 2022. "Data Analysis and Domain Knowledge for Strategic Competencies Using Business Intelligence and Analytics," Mathematics, MDPI, vol. 11(1), pages 1-33, December.
    3. Vincenzo Basile & Massimiliano Giacalone & Paolo Carmelo Cozzucoli, 2022. "The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies," Review of European Studies, Canadian Center of Science and Education, vol. 14(3), pages 1-10, November.

    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:40:y:1989:i:6:p:379-385. 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.