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Past performance, peer review and project selection: a case study in the social and behavioral sciences

Citations

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Cited by:

  1. 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.
  2. Marianne Hörlesberger & Ivana Roche & Dominique Besagni & Thomas Scherngell & Claire François & Pascal Cuxac & Edgar Schiebel & Michel Zitt & Dirk Holste, 2013. "A concept for inferring ‘frontier research’ in grant proposals," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 129-148, November.
  3. van den Besselaar, Peter & Sandström, Ulf, 2015. "Early career grants, performance, and careers: A study on predictive validity of grant decisions," Journal of Informetrics, Elsevier, vol. 9(4), pages 826-838.
  4. Paul Siu Fai Yip & Yunyu Xiao & Clifford Long Hin Wong & Terry Kit Fong Au, 2020. "Is there gender bias in research grant success in social sciences?: Hong Kong as a case study," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
  5. Benedetto Lepori & Valerio Veglio & Barbara Heller-Schuh & Thomas Scherngell & Michael Barber, 2015. "Participations to European Framework Programs of higher education institutions and their association with organizational characteristics," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2149-2178, December.
  6. Tobias Opthof & Loet Leydesdorff, 2011. "A comment to the paper by Waltman et al., Scientometrics, 87, 467–481, 2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 1011-1016, September.
  7. Bornmann, Lutz & Leydesdorff, Loet & Van den Besselaar, Peter, 2010. "A meta-evaluation of scientific research proposals: Different ways of comparing rejected to awarded applications," Journal of Informetrics, Elsevier, vol. 4(3), pages 211-220.
  8. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
  9. Vieira, Elizabeth S. & Lepori, Benedetto, 2016. "The growth process of higher education institutions and public policies," Journal of Informetrics, Elsevier, vol. 10(1), pages 286-298.
  10. Peter van den Besselaar & Ulf Sandström & Hélène Schiffbaenker, 2018. "Studying grant decision-making: a linguistic analysis of review reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 313-329, October.
  11. Sandström, Ulf & Van den Besselaar, Peter, 2018. "Funding, evaluation, and the performance of national research systems," Journal of Informetrics, Elsevier, vol. 12(1), pages 365-384.
  12. Peter van den Besselaar & Ulf Sandström, 2016. "Gender differences in research performance and its impact on careers: a longitudinal case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 143-162, January.
  13. van den Besselaar, Peter, 2012. "Selection committee membership: Service or self-service," Journal of Informetrics, Elsevier, vol. 6(4), pages 580-585.
  14. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
  15. Lepori, Benedetto, 2011. "Coordination modes in public funding systems," Research Policy, Elsevier, vol. 40(3), pages 355-367, April.
  16. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
  17. Thomas Zacharewicz & Noemi Pulido Pavón & Luis Antonio & Benedetto Lepori, 2023. "Do funding modes matter? A multilevel analysis of funding allocation mechanisms on university research performance," Research Evaluation, Oxford University Press, vol. 32(3), pages 545-556.
  18. Rüdiger Mutz & Lutz Bornmann & Hans-Dieter Daniel, 2015. "Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austr," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(11), pages 2321-2339, November.
  19. Maaike Verbree & Edwin Horlings & Peter Groenewegen & Inge Weijden & Peter Besselaar, 2015. "Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 25-49, January.
  20. Matteo Pedrini & Valentina Langella & Mario Alberto Battaglia & Paola Zaratin, 2018. "Assessing the health research’s social impact: a systematic review," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 1227-1250, March.
  21. Jun-Ying Fu & Xu Zhang & Yun-Hua Zhao & He-Feng Tong & Dar-Zen Chen & Mu-Hsuan Huang, 2012. "Scientific production and citation impact: a bibliometric analysis in acupuncture over three decades," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1061-1079, December.
  22. repec:oup:rseval:v:32:y:2024:i:3:p:545-556. is not listed on IDEAS
  23. Thelwall, Mike & Sud, Pardeep, 2016. "National, disciplinary and temporal variations in the extent to which articles with more authors have more impact: Evidence from a geometric field normalised citation indicator," Journal of Informetrics, Elsevier, vol. 10(1), pages 48-61.
  24. Tóth, Tamás & Demeter, Márton & Csuhai, Sándor & Major, Zsolt Balázs, 2024. "When career-boosting is on the line: Equity and inequality in grant evaluation, productivity, and the educational backgrounds of Marie Skłodowska-Curie Actions individual fellows in social sciences an," Journal of Informetrics, Elsevier, vol. 18(2).
  25. Kevin W. Boyack & Caleb Smith & Richard Klavans, 2018. "Toward predicting research proposal success," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 449-461, February.
  26. Seeber, Marco & Alon, Ilan & Pina, David G. & Piro, Fredrik Niclas & Seeber, Michele, 2022. "Predictors of applying for and winning an ERC Proof-of-Concept grant: An automated machine learning model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  27. Irwin Feller, 2013. "Peer review and expert panels as techniques for evaluating the quality of academic research," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 5, pages 115-142, Edward Elgar Publishing.
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