IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v102y2015i1d10.1007_s11192-014-1426-0.html
   My bibliography  Save this article

Academic careers in Computer Science: continuance and transience of lifetime co-authorships

Author

Listed:
  • Guillaume Cabanac

    (University of Toulouse)

  • Gilles Hubert

    (University of Toulouse)

  • Béatrice Milard

    (University of Toulouse)

Abstract

Scholarly publications reify fruitful collaborations between co-authors. A branch of research in the science studies focuses on analyzing the co-authorship networks of established scientists. Such studies tell us about how their collaborations developed through their careers. This paper updates previous work by reporting a transversal and a longitudinal studies spanning the lifelong careers of a cohort of researchers from the DBLP bibliographic database. We mined 3,860 researchers’ publication records to study the evolution patterns of their co-authorships. Two features of co-authors were considered: (1) their expertise, and (2) the history of their partnerships with the sampled researchers. Our findings reveal the ephemeral nature of most collaborations: 70 % of the new co-authors were only one-shot partners since they did not appear to collaborate on any further publications. Overall, researchers consistently extended their co-authorships (1) by steadily enrolling beginning researchers (i.e., people who had never published before), and (2) by increasingly working with confirmed researchers with whom they already collaborated.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:scient:v:102:y:2015:i:1:d:10.1007_s11192-014-1426-0
    DOI: 10.1007/s11192-014-1426-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-014-1426-0
    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/s11192-014-1426-0?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. Cassidy R. Sugimoto & Blaise Cronin, 2012. "Biobibliometric profiling: An examination of multifaceted approaches to scholarship," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 450-468, March.
    2. Cassidy R. Sugimoto & Blaise Cronin, 2012. "Biobibliometric profiling: An examination of multifaceted approaches to scholarship," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 450-468, March.
    3. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    4. Guillaume Cabanac, 2012. "Shaping the landscape of research in information systems from the perspective of editorial boards: A scientometric study of 77 leading journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(5), pages 977-996, May.
    5. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    6. Theresa Velden & Asif-ul Haque & Carl Lagoze, 2010. "A new approach to analyzing patterns of collaboration in co-authorship networks: mesoscopic analysis and interpretation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 219-242, October.
    7. 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.
    8. Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2010. "A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1564-1581, August.
    9. Blaise Cronin & Debora Shaw & Kathryn La Barre, 2004. "Visible, less visible, and invisible work: Patterns of collaboration in 20th century chemistry," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(2), pages 160-168, January.
    10. 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.
    11. Bronwyn Hall & Jacques Mairesse & Laure Turner, 2007. "Identifying Age, Cohort, And Period Effects In Scientific Research Productivity: Discussion And Illustration Using Simulated And Actual Data On French Physicists," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(2), pages 159-177.
    12. Yves Gingras & Vincent Larivière & Benoît Macaluso & Jean-Pierre Robitaille, 2008. "The Effects of Aging on Researchers' Publication and Citation Patterns," PLOS ONE, Public Library of Science, vol. 3(12), pages 1-8, December.
    13. Besiki Stvilia & Charles C. Hinnant & Katy Schindler & Adam Worrall & Gary Burnett & Kathleen Burnett & Michelle M. Kazmer & Paul F. Marty, 2011. "Composition of scientific teams and publication productivity at a national science lab," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(2), pages 270-283, February.
    14. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    15. Landry, Rejean & Amara, Nabil, 1998. "The impact of transaction costs on the institutional structuration of collaborative academic research," Research Policy, Elsevier, vol. 27(9), pages 901-913, December.
    16. 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.
    17. T. S. Evans & R. Lambiotte & P. Panzarasa, 2011. "Community structure and patterns of scientific collaboration in Business and Management," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 381-396, October.
    18. Besiki Stvilia & Charles C. Hinnant & Katy Schindler & Adam Worrall & Gary Burnett & Kathleen Burnett & Michelle M. Kazmer & Paul F. Marty, 2011. "Composition of scientific teams and publication productivity at a national science lab," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 270-283, February.
    19. Svein Kyvik & Terje Bruen Olsen, 2008. "Does the aging of tenured academic staff affect the research performance of universities?," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 439-455, September.
    20. András Schubert, 2012. "A Hirsch-type index of co-author partnership ability," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 303-308, April.
    21. Guillaume Cabanac, 2013. "Experimenting with the partnership ability φ-index on a million computer scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 1-9, July.
    22. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    23. José María Cavero & Belén Vela & Paloma Cáceres, 2014. "Computer science research: more production, less productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2103-2111, March.
    24. Guillaume Cabanac, 2012. "Shaping the landscape of research in information systems from the perspective of editorial boards: A scientometric study of 77 leading journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(5), pages 977-996, May.
    25. Cristina Gomes Souza & Marta Lúcia Azevedo Ferreira, 2013. "Researchers profile, co-authorship pattern and knowledge organization in information science in Brazil," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 673-687, May.
    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. João M. Fernandes & António Costa & Paulo Cortez, 2022. "Author placement in Computer Science: a study based on the careers of ACM Fellows," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 351-368, January.
    2. Darrin J. Griffin & Zachary W. Arth & Samuel D. Hakim & Brian C. Britt & James N. Gilbreath & Mackenzie P. Pike & Andrew J. Laningham & Fareed Bordbar & Sage Hart & San Bolkan, 2021. "Collaborations in communication: Authorship credit allocation via a weighted fractional count procedure," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4355-4372, May.
    3. Marine Bernard & Bastien Bernela & Marie Ferru, 2021. "Does the geographical mobility of scientists shape their collaboration network? A panel approach of chemists’ careers," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 79-99, February.
    4. Maisonobe, Marion & Eckert, Denis & Grossetti, Michel & Jégou, Laurent & Milard, Béatrice, 2016. "The world network of scientific collaborations between cities: domestic or international dynamics?," Journal of Informetrics, Elsevier, vol. 10(4), pages 1025-1036.
    5. Jinseok Kim & Jana Diesner, 2019. "Formational bounds of link prediction in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 687-706, May.
    6. Jámbor, Attila & Popp, József & Balogh, Péter & Kovács, Sándor, 2015. "Hálózatosodás az agrárgazdaságtanban. Szerzői és hivatkozási kapcsolatok a Kelet-Közép-Európáról szóló szakirodalomban [Cliques in agricultural economics: co-authorship and co-citation networks in ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 525-543.
    7. József Popp & Péter Balogh & Judit Oláh & Sebastian Kot & Mónika Harangi Rákos & Péter Lengyel, 2018. "Social Network Analysis of Scientific Articles Published by Food Policy," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    8. Jeppe Nicolaisen & Tove Faber Frandsen, 2022. "Epistemic community formation: a bibliometric study of recurring authors in medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4167-4189, July.
    9. Béatrice Milard & Yoann Pitarch, 2023. "Egocentric cocitation networks and scientific papers destinies," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 415-433, April.
    10. Chris Fields, 2015. "Co-authorship proximity of A. M. Turing Award and John von Neumann Medal winners to the disciplinary boundaries of computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 809-825, September.
    11. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).

    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. Lutz Bornmann & Werner Marx, 2014. "How to evaluate individual researchers working in the natural and life sciences meaningfully? A proposal of methods based on percentiles of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 487-509, January.
    2. Marek Kwiek, 2020. "Internationalists and locals: international research collaboration in a resource-poor system," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 57-105, July.
    3. Mehmet Ali Koseoglu, 2016. "Mapping the institutional collaboration network of strategic management research: 1980–2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 203-226, October.
    4. Alfonso Ibáñez & Concha Bielza & Pedro Larrañaga, 2013. "Relationship among research collaboration, number of documents and number of citations: a case study in Spanish computer science production in 2000–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 689-716, May.
    5. Daiji Kawaguchi & Ayako Kondo & Keiji Saito, 2016. "Researchers’ career transitions over the life cycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1435-1454, December.
    6. 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.
    7. Fredrik Niclas Piro & Dag W. Aksnes & Kristoffer Rørstad, 2013. "A macro analysis of productivity differences across fields: Challenges in the measurement of scientific publishing," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    8. Giovanni Abramo & Ciriaco Andrea D’Angelo & Gianluca Murgia, 2014. "Variation in research collaboration patterns across academic ranks," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2275-2294, March.
    9. Zhigang Hu & Chaomei Chen & Zeyuan Liu, 2014. "How are collaboration and productivity correlated at various career stages of scientists?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1553-1564, November.
    10. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    11. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    12. Shen, Hongquan & Xie, Juan & Ao, Weiyi & Cheng, Ying, 2022. "The continuity and citation impact of scientific collaboration with different gender composition," Journal of Informetrics, Elsevier, vol. 16(1).
    13. Shen, Hongquan & Cheng, Ying & Ju, Xiufang & Xie, Juan, 2022. "Rethinking the effect of inter-gender collaboration on research performance for scholars," Journal of Informetrics, Elsevier, vol. 16(4).
    14. , Aisdl, 2021. "Top economics universities and research institutions in Vietnam: evidence from the SSHPA dataset," OSF Preprints xvnkj, Center for Open Science.
    15. 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.
    16. Fatima Baji & Ismail Mostafavi & Parastoo Parsaei-Mohammadi & Zivar Sabaghinejad, 2021. "Partnership ability and co-authorship network of information literacy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8205-8216, September.
    17. Rørstad, Kristoffer & Aksnes, Dag W., 2015. "Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff," Journal of Informetrics, Elsevier, vol. 9(2), pages 317-333.
    18. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Costa, 2011. "Research productivity: Are higher academic ranks more productive than lower ones?," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 915-928, September.
    19. Guillaume Cabanac, 2013. "Experimenting with the partnership ability φ-index on a million computer scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 1-9, July.
    20. Vincent Larivière & Rodrigo Costas, 2016. "How Many Is Too Many? On the Relationship between Research Productivity and Impact," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-10, September.

    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:102:y:2015:i:1:d:10.1007_s11192-014-1426-0. 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.