Advertisement

Lutz Bornmann: Recipient of the 2019 Derek John de Solla Price Medal

  • Hans-Dieter DanielEmail author
Article
  • 14 Downloads

The highest honor in the field of the quantitative studies of science—The Derek John de Solla Price Medal—goes in 2019 to Lutz Bornmann. Congratulations to Lutz! He is a thoroughbred researcher who, like all his predecessors, deserves this honor very much. His list of publications includes more than 350 journal articles, book chapters, and monographs. Many of his journal articles have been published in our core journals, in particular, Scientometrics, Journal of Informetrics, and The Journal of the Association for Information Science and Technology. He is a member of the editorial board of Quantitative Science Studies (MIT Press), PLOS ONE (Public Library of Science), and Scientometrics (Springer Nature) as well as an advisory editorial board member of EMBO Reports (EMBO Press). Clarivate Analytics (http://highlycited.com) lists Lutz Bornmann in “Highly Cited Researchers” for his exceptional research performance in the category “Social Sciences, general” since the first release of...

References

  1. Batagelj, V., Ferligoj, A., & Squazzoni, F. (2017). The emergence of a field: A network analysis of research on peer review. Scientometrics, 113(1), 503–532.CrossRefGoogle Scholar
  2. Bornmann, L. (2011). Scientific peer review. Annual Review of Information Science and Technology, 45, 199–245.CrossRefGoogle Scholar
  3. Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the Association for Information Science and Technology, 64(2), 217–233.Google Scholar
  4. Bornmann, L. (2014). Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. Journal of Informetrics, 8(4), 895–903.CrossRefGoogle Scholar
  5. Bornmann, L., & Daniel, H.-D. (2005). Selection of research fellowship recipients by committee peer review. Reliability, fairness and predictive validity of Board of Trustees’ decisions. Scientometrics, 63(2), 297–320.CrossRefGoogle Scholar
  6. Bornmann, L., & Daniel, H.-D. (2006). Selecting scientific excellence through committee peer review: A citation analysis of publications previously published to approval or rejection of post-doctoral research fellowship applicants. Scientometrics, 68(3), 427–440.CrossRefGoogle Scholar
  7. Bornmann, L., & Daniel, H.-D. (2008a). Selecting manuscripts for a high‐impact journal through peer review: A citation analysis of communications that were accepted by Angewandte Chemie International Edition, or rejected but published elsewhere. Journal of the American Society for Information Science and Technology, 59(11), 1841–1852.CrossRefGoogle Scholar
  8. Bornmann, L., & Daniel, H.-D. (2008b). Does the h-index for ranking of scientists really work? Scientometrics, 65(3), 391–392.CrossRefGoogle Scholar
  9. Bornmann, L., & de Moya-Anegon, F. (2019). Spatial bibliometrics on the city level. Journal of Information Science, 45(3), 416–425.CrossRefGoogle Scholar
  10. Bornmann, L., de Moya-Anegon, F., & Leydesdorff, L. (2012). The new excellence indicator in the world report of the SCImago institutions ranking 2011. Journal of Informetrics, 6(2), 333–335.CrossRefGoogle Scholar
  11. Bornmann, L., & Haunschild, R. (2017). An empirical look at the Nature Index. Journal of the Association for Information Science and Technology, 68(3), 653–659.CrossRefGoogle Scholar
  12. Bornmann, L., & Haunschild, R. (2018). Do altmetrics correlate with the quality of papers? A large-scale empirical study based on F1000Prime data. PLoS ONE, 13(3), e0197133.CrossRefGoogle Scholar
  13. Bornmann, L., Haunschild, R., & Adams, J. (2019). Do altmetrics access societal impact in a comparable way to case studies? An empirical test to the convergent validity of altmetrics based on data from the UK Research excellence Framework (REF). Journal of Informetrics, 13, 325–340.CrossRefGoogle Scholar
  14. Bornmann, L., & Leydesdorff, L. (2017). Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data. Journal of Informetrics, 11(1), 164–175.CrossRefGoogle Scholar
  15. Bornmann, L., Leydesdorff, L., & Mutz, R. (2013a). The use of percentiles and percentile rank classes in the analysis of bibliometric data: Opportunities and limits. Journal of Informetrics, 7(1), 158–165.CrossRefGoogle Scholar
  16. Bornmann, L., & Mutz, R. (2011). Further steps towards an ideal method of measuring citation performance: The avoidance of citation (ratio) averages in field-normalization. Journal of Informetrics, 5(1), 228–230.CrossRefGoogle Scholar
  17. Bornmann, L., & Mutz, R. (2015). Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. Journal of the Association for Information Science and Technology, 66(11), 2215–2222.CrossRefGoogle Scholar
  18. Bornmann, L., Mutz, R., & Daniel, H.-D. (2013b). Multilevel-statistical reformulation of citation-based university rankings: The Leiden ranking 2011/2012. Journal of the American Society for Information Science and Technology, 64(8), 1649–1658.CrossRefGoogle Scholar
  19. Bornmann, L., Mutz, R., Hug, S. E., & Daniel, H.-D. (2011). A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants. Journal of Informetrics, 5(3), 346–359.CrossRefGoogle Scholar
  20. Bornmann, L., Mutz, R., Neuhaus, C., & Daniel, H.-D. (2008). Citation counts for research evaluation: Standards of good practice for analyzing bibliometric data and presenting and interpreting results. Ethics in Science and Environmental Politics, 8(1), 93–102.CrossRefGoogle Scholar
  21. Bornmann, L., Stefaner, M., de Moya Anegon, F., & Mutz, R. (2014). Ranking and mapping of universities and research-focused institutions worldwide based on highly-cited papers. A visualization of results from multi-level models. Online Information Review, 38(1), 43–58.CrossRefGoogle Scholar
  22. Bornmann, L., Thor, A., Marx, W., & Schier, H. (2016). The application of bibliometrics to research evaluation in the humanities and social sciences: An exploratory study using normalized Google Scholar data for the publications of a research institute. Journal of the Association for Information Science and Technology, 67(11), 2778–2789.CrossRefGoogle Scholar
  23. Bornmann, L., Ye, A., & Ye, F. (2018). Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores. Scientometrics, 116(2), 655–674.CrossRefGoogle Scholar
  24. Enders, J., & Bornmann, L. (2001). Karriere mit Doktortitel? Ausbildung, Berufsverlauf und Berufserfolg von Promovierten (Career with a PhD? Education, career history and professional success of PhDs). Frankfurt am Main: Campus.Google Scholar
  25. Mutz, R., Bornmann, L., & Daniel, H.-D. (2015a). Does gender matter in grant peer review? An empirical investigation using the example of the Austrian science fund. Zeitschrift für Psychologie-Journal of Psychology, 220(2), 121–129.CrossRefGoogle Scholar
  26. Mutz, R., Bornmann, L., & Daniel, H.-D. (2015b). 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 review data from the Austrian Science Fund. Journal of the Association for Information Science and Technology, 66(11), 2321–2339.CrossRefGoogle Scholar
  27. Price, D. J. S. (1951). Quantitative measures of the development of science. Archives Internationales d’Histoire des Sciences, 14, 85–93.Google Scholar
  28. Thor, A., Marx, W., Leydesdorff, L., & Bornmann, L. (2016). Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization. Journal of Informetrics, 10(2), 503–515.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  1. 1.Social Psychology and Research on Higher Education, D-GESSETH ZurichZurichSwitzerland
  2. 2.Department of PsychologyUniversity of ZurichZurichSwitzerland

Personalised recommendations