IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v114y2018i2d10.1007_s11192-017-2623-4.html
   My bibliography  Save this article

Garfield number: on some characteristics of Eugene Garfield’s first and second order co-authorship networks

Author

Listed:
  • Wolfgang Glänzel

    () (KU Leuven
    KU Leuven)

  • Mehmet Ali Abdulhayoǧlu

    (KU Leuven)

Abstract

In this note we give an overview of the first- and second-order collaboration network reflected by Eugene Garfield’s publications in scientific journals. Although he had only a quite limited number of co-authors and co-publications, his co-authors’ own collaboration networks generate a large world-wide and multidisciplinary coverage. The classical model of co-authorship network is the Erdős network with the Erdős Number indicating the shortest co-authorship path through which an author is connected with Paul Erdős. The two networks, generated by Erdős and Garfield, respectively, show completely different patterns and characteristics but illustrate the ways how ideas of great scholars and pioneers disseminate and influence the respective scientific communities.

Suggested Citation

  • Wolfgang Glänzel & Mehmet Ali Abdulhayoǧlu, 2018. "Garfield number: on some characteristics of Eugene Garfield’s first and second order co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 533-544, February.
  • Handle: RePEc:spr:scient:v:114:y:2018:i:2:d:10.1007_s11192-017-2623-4
    DOI: 10.1007/s11192-017-2623-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-017-2623-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wolfgang Glänzel & Bart Thijs & Pei-Shan Chi, 2016. "The challenges to expand bibliometric studies from periodical literature to monographic literature with a new data source: the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2165-2179, December.
    2. Tibor Braun & Wolfgang Glänzel & András Schubert, 2001. "Publication and cooperation patterns of the authors of neuroscience journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 499-510, January.
    3. Tibor Braun & Wolfgang Glänzel & András Schubert, 2001. "Publication and cooperation patterns of the authors of neuroscience journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 499-510, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Tolga Yuret, 0. "Co-worker network: How closely are researchers who published in the top five economics journals related?," Scientometrics, Springer;Akadémiai Kiadó, vol. 0, pages 1-17.
    2. Tolga Yuret, 2020. "Co-worker network: How closely are researchers who published in the top five economics journals related?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2301-2317, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haiyang Lu & Yuqiang Feng, 2009. "A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 499-511, November.
    2. Edson Ronaldo Guarido Filho & Clóvis L. Machado-da-Silva & Sandro Aparecido Gonçalves, 2010. "Organizational institutionalism in the academic field in Brazil: social dynamics and networks," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 14(spe), pages 149-172.
    3. Huailan Liu & Zhiwang Chen & Jie Tang & Yuan Zhou & Sheng Liu, 2020. "Mapping the technology evolution path: a novel model for dynamic topic detection and tracking," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2043-2090, December.
    4. Avishag Gordon, 2007. "Transient and continuant authors in a research field: The case of terrorism," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(2), pages 213-224, August.
    5. Lin Zhang & Wolfgang Glänzel, 2012. "Where demographics meets scientometrics: towards a dynamic career analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 617-630, May.
    6. William B. Gartner & Per Davidsson & Shaker A. Zahra, 2006. "Are you Talking to Me? The Nature of Community in Entrepreneurship Scholarship," Entrepreneurship Theory and Practice, , vol. 30(3), pages 321-331, May.
    7. Olle Persson & Wolfgang Glänzel & Rickard Danell, 2004. "Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 421-432, August.
    8. Alberto Pepe & Marko A. Rodriguez, 2010. "Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 687-701, September.
    9. Lei Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Characteristics of international collaboration in sport sciences publications and its influence on citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 843-862, November.
    10. Hildrun Kretschmer & Isidro F. Aguillo, 2004. "Visibility of collaboration on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 405-426, November.
    11. Guillermo Armando Ronda-Pupo & Carlos Díaz-Contreras & Guillermo Ronda-Velázquez & Jorge Carlos Ronda-Pupo, 2015. "The role of academic collaboration in the impact of Latin-American research on management," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1435-1454, February.
    12. Guillaume Cabanac & Gilles Hubert & Béatrice Milard, 2015. "Academic careers in Computer Science: continuance and transience of lifetime co-authorships," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 135-150, January.
    13. Gregorio González-Alcaide & Jinseo Park & Charles Huamaní & Isabel Belinchón & José M Ramos, 2015. "Evolution of Cooperation Patterns in Psoriasis Research: Co-Authorship Network Analysis of Papers in Medline (1942–2013)," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-19, December.
    14. Hildrun Kretschmer, 2004. "Author productivity and geodesic distance in bibliographic co-authorship networks, and visibility on the Web," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 409-420, August.
    15. Jinseok Kim & Jana Diesner, 2019. "Formational bounds of link prediction in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 687-706, May.
    16. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
    17. Johannes Sorz & Wolfgang Glänzel & Ursula Ulrych & Christian Gumpenberger & Juan Gorraiz, 2020. "Research strengths identified by esteem and bibliometric indicators: a case study at the University of Vienna," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1095-1116, November.
    18. Yongjun Zhu & Erjia Yan & Silvio Peroni & Chao Che, 2020. "Nine million book items and eleven million citations: a study of book-based scholarly communication using OpenCitations," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1097-1112, February.
    19. Wang, Zhiqi & Chen, Yue & Glänzel, Wolfgang, 2020. "Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics," Journal of Informetrics, Elsevier, vol. 14(4).
    20. Siluo Yang & Xin Xing & Fan Qi & Maria Cláudia Cabrini Grácio, 2021. "Comparison of academic book impact from a disciplinary perspective: an analysis of citations and altmetric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1101-1123, February.

    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:114:y:2018:i:2:d:10.1007_s11192-017-2623-4. See general information about how to correct material in RePEc.

    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). General contact details of provider: http://www.springer.com .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.