IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i2d10.1007_s11192-023-04900-5.html
   My bibliography  Save this article

Longitudinal patterns of scientific collaboration in doctoral studies

Author

Listed:
  • Marjan Cugmas

    (University of Ljubljana)

  • Franc Mali

    (University of Ljubljana)

  • Luka Kronegger

    (University of Ljubljana)

Abstract

Doctoral studies play a vital role in socializing young individuals in science as they navigate the challenges of modern knowledge-based societies. Taking various forms and intensities, the mentor–mentee relationship is integral to this process. The paper therefore addresses the temporal patterns of scientific collaboration between mentors and mentees, as well as among co-mentors, given that understanding the characteristics of mentoring collaborations is essential for developing successful higher education strategies for attracting potential doctoral students and designing effective science policies. Patterns of collaboration were identified using a symbolic data clustering approach and described using linear discriminant analysis. The data come from national information systems in Slovenia and cover the period between 1991 and 2020. On the mentor–mentee level, six types of scientific collaborations were identified and classified in three broader categories: study-limited, already established, and born and raised. The most common, born and raised, is characterized by students who are isolated from the scientific community at the beginning of their studies and have become well integrated into the scientific community and highly productive researchers by the time they complete their doctoral studies. The study-limited collaboration pattern is becoming increasingly popular and more common in the natural and technical sciences. The already established is more common among older mentees. The notion that mentoring promotes long-term scientific collaboration between mentors is not confirmed by the presented study. However, higher levels of collaboration between mentors are associated with younger age, working in the same scientific discipline, and younger mentors.

Suggested Citation

  • Marjan Cugmas & Franc Mali & Luka Kronegger, 2024. "Longitudinal patterns of scientific collaboration in doctoral studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 1055-1077, February.
  • Handle: RePEc:spr:scient:v:129:y:2024:i:2:d:10.1007_s11192-023-04900-5
    DOI: 10.1007/s11192-023-04900-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-023-04900-5
    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/s11192-023-04900-5?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. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
    2. Corsini, Alberto & Pezzoni, Michele & Visentin, Fabiana, 2022. "What makes a productive Ph.D. student?," Research Policy, Elsevier, vol. 51(10).
    3. Dorte Henriksen, 2016. "The rise in co-authorship in the social sciences (1980–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 455-476, May.
    4. Mangematin, V., 2000. "PhD job market: professional trajectories and incentives during the PhD," Research Policy, Elsevier, vol. 29(6), pages 741-756, June.
    5. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
    6. Luís Filipe Miranda Grochocki & Andrea Felippe Cabello, 2023. "Research collaboration networks in maturing academic environments," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2535-2556, April.
    7. Luisa A. Unda & Amrinder Khosa & Steven Burch & Carla Wilkin, 2020. "Sustainability of the accounting and finance academic profession: students’ and supervisors’ views about the PhD supervision process," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 3103-3132, September.
    8. Khosa, Amrinder & Burch, Steven & Ozdil, Esin & Wilkin, Carla, 2020. "Current issues in PhD supervision of accounting and finance students: Evidence from Australia and New Zealand," The British Accounting Review, Elsevier, vol. 52(5).
    9. Luka Kronegger & Anuška Ferligoj & Patrick Doreian, 2011. "On the dynamics of national scientific systems," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 989-1015, August.
    10. Grit Laudel, 2002. "What do we measure by co-authorships?," Research Evaluation, Oxford University Press, vol. 11(1), pages 3-15, April.
    11. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    12. Lu, Wei & Ren, Yan & Huang, Yong & Bu, Yi & Zhang, Yuehan, 2021. "Scientific collaboration and career stages: An ego-centric perspective," Journal of Informetrics, Elsevier, vol. 15(4).
    13. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
    14. Luka Bulian & Ivana Èavar & Zvonimir Mance, 2022. ""It's Dangerous to go Alone!" Scientific Excellence of PhD Holders and Their Mentors - Network Analysis of Croatian Doctoral Students," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 20(4), pages 483-499.
    15. Michele Pezzoni & Jacques Mairesse & Paula Stephan & Julia Lane, 2016. "Gender and the Publication Output of Graduate Students: A Case Study," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-12, January.
    16. Karri A. Holley, 2018. "The Longitudinal Career Experiences of Interdisciplinary Neuroscience PhD Recipients," The Journal of Higher Education, Taylor & Francis Journals, vol. 89(1), pages 106-127, January.
    17. Kevin M. Kniffin & Andrew S. Hanks, 2017. "Antecedents and near-term consequences for interdisciplinary dissertators," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1225-1250, June.
    18. Patrick Doreian & Anuška Ferligoj & Luka Kronegger, 2011. "On the dynamics of national scientific systems: a reply," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1025-1029, August.
    19. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    20. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    Full references (including those not matched with items on IDEAS)

    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. Fabio Ashtar Telarico & Franc Mali & Aleš Žiberna, 2024. "Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5635-5672, September.
    2. Marjan Cugmas & Franc Mali & Aleš Žiberna, 2020. "Scientific collaboration of researchers and organizations: a two-level blockmodeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2471-2489, December.
    3. Hajdeja Iglič & Patrick Doreian & Luka Kronegger & Anuška Ferligoj, 2017. "With whom do researchers collaborate and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 153-174, July.
    4. Marjan Cugmas & Anuška Ferligoj & Luka Kronegger, 2016. "The stability of co-authorship structures," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 163-186, January.
    5. Zaida Chinchilla-Rodríguez & Anuska Ferligoj & Sandra Miguel & Luka Kronegger & Félix Moya-Anegón, 2012. "Blockmodeling of co-authorship networks in library and information science in Argentina: a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 699-717, December.
    6. Sofia Patsali & Michele Pezzoni & Fabiana Visentin, 2021. "The Impact of Research Independence on PhD Students’ Careers: Large-Scale Evidence from France," Post-Print hal-03564708, HAL.
    7. Paul-Hus, Adèle & Mongeon, Philippe & Sainte-Marie, Maxime & Larivière, Vincent, 2017. "The sum of it all: Revealing collaboration patterns by combining authorship and acknowledgements," Journal of Informetrics, Elsevier, vol. 11(1), pages 80-87.
    8. Liliana Arroyo Moliner & Eva Gallardo-Gallardo & Pedro Gallo de Puelles, 2017. "Understanding scientific communities: a social network approach to collaborations in Talent Management research," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1439-1462, December.
    9. Rojko, Katarina & Lužar, Borut, 2022. "Scientific performance across research disciplines: Trends and differences in the case of Slovenia," Journal of Informetrics, Elsevier, vol. 16(2).
    10. Letina, Srebrenka, 2016. "Network and actor attribute effects on the performance of researchers in two fields of social science in a small peripheral community," Journal of Informetrics, Elsevier, vol. 10(2), pages 571-595.
    11. Corsini, Alberto & Pezzoni, Michele & Visentin, Fabiana, 2022. "What makes a productive Ph.D. student?," Research Policy, Elsevier, vol. 51(10).
    12. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    13. Romina Rodela, 2016. "On the use of databases about research performance: comments on Karlovčec and Mladenić (2015) and others using the SICRIS database," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2151-2157, December.
    14. Gómez-Ferri, Javier & González-Alcaide, Gregorio & LLopis-Goig, Ramón, 2019. "Measuring dissatisfaction with coauthorship: An empirical approach based on the researchers’ perception," Journal of Informetrics, Elsevier, vol. 13(4).
    15. Chin-Chang Tsai & Elizabeth A. Corley & Barry Bozeman, 2016. "Collaboration experiences across scientific disciplines and cohorts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 505-529, August.
    16. Claudia N. González Brambila & José Luis Olivares-Vázquez, 2021. "Patterns and evolution of publication and co-authorship in Social Sciences in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2595-2626, March.
    17. Aliakbar Akbaritabar & Vincent Antonio Traag & Alberto Caimo & Flaminio Squazzoni, 2020. "Italian sociologists: a community of disconnected groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2361-2382, September.
    18. Sameer Kumar, 2018. "Ethical Concerns in the Rise of Co-Authorship and Its Role as a Proxy of Research Collaborations," Publications, MDPI, vol. 6(3), pages 1-9, August.
    19. Cristina Arhiliuc & Raf Guns, 2023. "Disciplinary collaboration rates in the social sciences and humanities: what is the influence of classification type?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3419-3436, June.
    20. Kaile Gong & Ying Cheng, 2022. "Patterns and impact of collaboration in China’s social sciences: cross-database comparisons between CSSCI and SSCI," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5947-5964, October.

    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:129:y:2024:i:2:d:10.1007_s11192-023-04900-5. 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.