IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v117y2018i3d10.1007_s11192-018-2940-2.html
   My bibliography  Save this article

A genealogy of the Brazilian scientific research on freshwater fish farming by means of the academic supervision linkage

Author

Listed:
  • Carlos Eduardo M. Viegas Silva

    (Universidade de São Paulo (USP))

  • Rubens Nunes

    (Universidade de São Paulo)

  • Elisabete Maria Macedo Viegas

    (Universidade de São Paulo)

Abstract

Any field of scientific knowledge undergoes maintenance and evolution. This is accomplished in a variety of ways, but especially through the training of researchers who will dedicate their scientific careers to the area of science in which they were trained. Forming this type of researcher is a process that is subordinated to the sets of rules and values of each academic community. In a simplified way, this process can be understood as one that transforms a student into a researcher who, in turn, will take on the task of forming new researchers. Thus, the academic supervision that transforms a student into a new researcher occupies a central role in the development of each field of science, and can help explain the characteristics of that field. This work examines how the field of academic research in freshwater fish farming has unfolded in Brazil. This is accomplished by making use of the links between advisor and advisee to describe the involved academic genealogy. For this, the examination used the information of Brazilian researchers, which was publicly available on the website of the National Research Council (CNPq) of Brazil. Some social network analysis techniques were employed to better qualify these descriptions for graphical display in the form of an academic genealogical tree. Through this study, descriptions were developed to point out researchers who played important roles in the training of Brazilian researchers in the field of freshwater fish farming.

Suggested Citation

  • Carlos Eduardo M. Viegas Silva & Rubens Nunes & Elisabete Maria Macedo Viegas, 2018. "A genealogy of the Brazilian scientific research on freshwater fish farming by means of the academic supervision linkage," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1535-1553, December.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2940-2
    DOI: 10.1007/s11192-018-2940-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2940-2
    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/s11192-018-2940-2?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.

    References listed on IDEAS

    as
    1. Stephen V David & Benjamin Y Hayden, 2012. "Neurotree: A Collaborative, Graphical Database of the Academic Genealogy of Neuroscience," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-12, October.
    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. Dhananjay Kumar & Plaban Kumar Bhowmick & Sumana Dey & Debarshi Kumar Sanyal, 2023. "On the banks of Shodhganga: analysis of the academic genealogy graph of an Indian ETD repository," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3879-3914, July.

    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. Julia H. Chariker & Yihang Zhang & John R. Pani & Eric C. Rouchka, 2017. "Identification of successful mentoring communities using network-based analysis of mentor–mentee relationships across Nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1733-1749, June.
    2. Lisa D. Wijsen & Denny Borsboom & Tiago Cabaço & Willem J. Heiser, 2019. "An Academic Genealogy of Psychometric Society Presidents," Psychometrika, Springer;The Psychometric Society, vol. 84(2), pages 562-588, June.
    3. Dominik P. Heinisch & Guido Buenstorf, 2018. "The next generation (plus one): an analysis of doctoral students’ academic fecundity based on a novel approach to advisor identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 351-380, October.
    4. Kumar, Dhananjay & Bhowmick, Plaban Kumar & Paik, Jiaul H, 2023. "Researcher influence prediction (ResIP) using academic genealogy network," Journal of Informetrics, Elsevier, vol. 17(2).
    5. Rossi, Luciano & Freire, Igor L. & Mena-Chalco, Jesús P., 2017. "Genealogical index: A metric to analyze advisor–advisee relationships," Journal of Informetrics, Elsevier, vol. 11(2), pages 564-582.
    6. Rafael J. P. Damaceno & Luciano Rossi & Rogério Mugnaini & Jesús P. Mena-Chalco, 2019. "The Brazilian academic genealogy: evidence of advisor–advisee relationships through quantitative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 303-333, April.
    7. Wuestman, Mignon & Wanzenböck, Iris & Frenken, Koen, 2023. "Local peer communities and future academic success of Ph.D. candidates," Research Policy, Elsevier, vol. 52(8).
    8. Dhananjay Kumar & Plaban Kumar Bhowmick & Sumana Dey & Debarshi Kumar Sanyal, 2023. "On the banks of Shodhganga: analysis of the academic genealogy graph of an Indian ETD repository," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 3879-3914, July.
    9. Debarshi Kumar Sanyal & Sumana Dey & Partha Pratim Das, 2020. "gm-index: a new mentorship index for researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 71-102, April.
    10. Rossi, Luciano & Damaceno, Rafael J.P. & Freire, Igor L. & Bechara, Etelvino J.H. & Mena-Chalco, Jesús P., 2018. "Topological metrics in academic genealogy graphs," Journal of Informetrics, Elsevier, vol. 12(4), pages 1042-1058.

    More about this item

    Keywords

    Academic genealogy; Fish farming; Academic supervision; Social Network; Brazil;
    All these keywords.

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

    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:117:y:2018:i:3:d:10.1007_s11192-018-2940-2. 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.

    If CitEc recognized a bibliographic 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.

    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.