IDEAS home Printed from https://ideas.repec.org/a/spr/comgts/v21y2024i1d10.1007_s10287-023-00495-7.html
   My bibliography  Save this article

Affiliations based bibliometric analysis of publications on parkinson’s disease

Author

Listed:
  • Fuad Aleskerov

    (National Research University Higher School of Economics
    Institute of Control Sciences of Russian Academy of Sciences)

  • Olga Khutorskaya

    (Institute of Control Sciences of Russian Academy of Sciences)

  • Viacheslav Yakuba

    (National Research University Higher School of Economics
    Institute of Control Sciences of Russian Academy of Sciences)

  • Anna Stepochkina

    (National Research University Higher School of Economics)

  • Ksenia Zinovyeva

    (National Research University Higher School of Economics)

Abstract

Parkinson’s disease is the second most common neurodegenerative disorder in the world. Thousands of scientific works are published every year. We have analyzed more than 3 thousand organizations, who have published works on various aspects of parkinson’s disease in the period from 2015 to 2021. We have evaluated 4 classical centrality indices (In-degree, Eigenvector, Pagerank and Betweenness) and 2 new centrality indices. The new indices allow to take into account group influence and to identify pivotal nodes. Using the method, we have extracted the most influential organizations in the scientific area of parkinson’s disease. Stability analysis allows us to measure the value of dynamic changes in the network during the period under consideration.

Suggested Citation

  • Fuad Aleskerov & Olga Khutorskaya & Viacheslav Yakuba & Anna Stepochkina & Ksenia Zinovyeva, 2024. "Affiliations based bibliometric analysis of publications on parkinson’s disease," Computational Management Science, Springer, vol. 21(1), pages 1-14, June.
    • Handle: RePEc:spr:comgts:v:21:y:2024:i:1:d:10.1007_s10287-023-00495-7
    DOI: 10.1007/s10287-023-00495-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10287-023-00495-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10287-023-00495-7?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.

    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:comgts:v:21:y:2024:i:1:d:10.1007_s10287-023-00495-7. 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.