, Volume 108, Issue 1, pp 83–111

Optimal research team composition: data envelopment analysis of Fermilab experiments

  • Slobodan Perović
  • Sandro Radovanović
  • Vlasta Sikimić
  • Andrea Berber

DOI: 10.1007/s11192-016-1947-9

Cite this article as:
Perović, S., Radovanović, S., Sikimić, V. et al. Scientometrics (2016) 108: 83. doi:10.1007/s11192-016-1947-9


We employ data envelopment analysis on a series of experiments performed in Fermilab, one of the major high-energy physics laboratories in the world, in order to test their efficiency (as measured by publication and citation rates) in terms of variations of team size, number of teams per experiment, and completion time. We present the results and analyze them, focusing in particular on inherent connections between quantitative team composition and diversity, and discuss them in relation to other factors contributing to scientific production in a wider sense. Our results concur with the results of other studies across the sciences showing that smaller research teams are more productive, and with the conjecture on curvilinear dependence of team size and efficiency.


Social epistemology of science Team size Team diversity Data envelopment analysis High energy physics Fermilab 

Funding information

Funder NameGrant NumberFunding Note
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
  • 179041

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2016

Authors and Affiliations

  • Slobodan Perović
    • 1
  • Sandro Radovanović
    • 2
  • Vlasta Sikimić
    • 3
  • Andrea Berber
    • 1
  1. 1.Department of PhilosophyUniversity of BelgradeBelgradeSerbia
  2. 2.Faculty of Organizational SciencesUniversity of BelgradeBelgradeSerbia
  3. 3.Department of Formal LanguagesTechnische Universität WienViennaAustria

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