IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v9y2015i2p317-333.html
   My bibliography  Save this article

Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff

Author

Listed:
  • Rørstad, Kristoffer
  • Aksnes, Dag W.

Abstract

This study investigates how scientific performance in terms of publication rate is influenced by the gender, age and academic position of the researchers. Previous studies have shown that these factors are important variables when analysing scientific productivity at the individual level. What is new with our approach is that we have been able to identify the relative importance of the different factors based on regression analyses (OLS) of each major academic field. The study, involving almost 12,400 Norwegian university researchers, shows that academic position is more important than age and gender. In the fields analysed, the regression model can explain 13.5–19 per cent of the variance in the publication output at the levels of individuals. This also means that most of the variance in publication rate is due to other factors.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:infome:v:9:y:2015:i:2:p:317-333
    DOI: 10.1016/j.joi.2015.02.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157715000218
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.joi.2015.02.003?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. 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.
    2. Hanna-Mari Puuska, 2010. "Effects of scholar’s gender and professional position on publishing productivity in different publication types. Analysis of a Finnish university," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 419-437, February.
    3. Gonzalez-Brambila, Claudia & Veloso, Francisco M., 2007. "The determinants of research output and impact: A study of Mexican researchers," Research Policy, Elsevier, vol. 36(7), pages 1035-1051, September.
    4. Pleun Arensbergen & Inge van der Weijden & Peter Besselaar, 2012. "Gender differences in scientific productivity: a persisting phenomenon?," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 857-868, December.
    5. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    6. 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.
    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. 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.
    9. Dag W. Aksnes & Kristoffer Rorstad & Fredrik Piro & Gunnar Sivertsen, 2011. "Are female researchers less cited? A large-scale study of Norwegian scientists," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(4), pages 628-636, April.
    10. Andrea Diem & Stefan C. Wolter, 2011. "The Use of Bibliometrics to Measure Research Performance in Education Sciences," Economics of Education Working Paper Series 0066, University of Zurich, Department of Business Administration (IBW), revised May 2013.
    11. Dag W. Aksnes & Kristoffer Rorstad & Fredrik Piro & Gunnar Sivertsen, 2011. "Are female researchers less cited? A large‐scale study of Norwegian scientists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(4), pages 628-636, April.
    12. Jung Cheol Shin & William K. Cummings, 2010. "Multilevel analysis of academic publishing across disciplines: research preference, collaboration, and time on research," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 581-594, November.
    13. 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 American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 307-320, February.
    14. Franz Barjak, 2006. "Research productivity in the internet era," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 343-360, 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. , Aisdl, 2021. "Top economics universities and research institutions in Vietnam: evidence from the SSHPA dataset," OSF Preprints xvnkj, Center for Open Science.
    2. 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.
    3. 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.
    4. 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.
    5. Abramo, Giovanni & Aksnes, Dag W. & D’Angelo, Ciriaco Andrea, 2021. "Gender differences in research performance within and between countries: Italy vs Norway," Journal of Informetrics, Elsevier, vol. 15(2).
    6. Dag W. Aksnes & Fredrik Niclas Piro & Kristoffer Rørstad, 2019. "Gender gaps in international research collaboration: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 747-774, August.
    7. João M. Santos & Hugo Horta & Huan Li, 2022. "Are the strategic research agendas of researchers in the social sciences determinants of research productivity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3719-3747, July.
    8. Zharova, Alona & Härdle, Wolfgang Karl & Lessmann, Stefan, 2023. "Data-driven support for policy and decision-making in university research management: A case study from Germany," European Journal of Operational Research, Elsevier, vol. 308(1), pages 353-368.
    9. 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.
    10. Perlin, Marcelo S. & Santos, André A.P. & Imasato, Takeyoshi & Borenstein, Denis & Da Silva, Sergio, 2017. "The Brazilian scientific output published in journals: A study based on a large CV database," Journal of Informetrics, Elsevier, vol. 11(1), pages 18-31.
    11. Zhang, Mengya & Zhang, Gupeng & Liu, Yun & Zhai, Xiaorong & Han, Xinying, 2020. "Scientists’ genders and international academic collaboration: An empirical study of Chinese universities and research institutes," Journal of Informetrics, Elsevier, vol. 14(4).
    12. Nabil Amara & Réjean Landry & Norrin Halilem, 2015. "What can university administrators do to increase the publication and citation scores of their faculty members?," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 489-530, May.
    13. Wullum Nielsen, Mathias & Börjeson, Love, 2019. "Gender diversity in the management field: Does it matter for research outcomes?," Research Policy, Elsevier, vol. 48(7), pages 1617-1632.
    14. Giovanni Abramo & Ciriaco Andrea D’Angelo & Flavia Di Costa, 2018. "The effects of gender, age and academic rank on research diversification," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 373-387, February.
    15. Bonaccorsi, Andrea & Belingheri, Paola & Secondi, Luca, 2021. "The research productivity of universities. A multilevel and multidisciplinary analysis on European institutions," Journal of Informetrics, Elsevier, vol. 15(2).
    16. Edwin Horlings & Thomas Gurney, 2013. "Search strategies along the academic lifecycle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1137-1160, March.
    17. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    18. Marek Kwiek, 2018. "High research productivity in vertically undifferentiated higher education systems: Who are the top performers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 415-462, April.
    19. João M. Santos & Hugo Horta, 2015. "The generational gap of science: a dynamic cluster analysis of doctorates in an evolving scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 381-406, July.
    20. Walter Pérez Villa & Amaya Pérez-Ezcurdia & Miguel Angel Vigil Berrocal, 2022. "Tacit Contributions and Roles of Senior Researchers: Experiences of a Multinational Company," Administrative Sciences, MDPI, vol. 12(4), pages 1-18, December.

    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:eee:infome:v:9:y:2015:i:2:p:317-333. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.