National and organizational patterns of Nobel laureate careers in physiology/medicine, physics, and chemistry
Thomas Heinze () and
Joel Emanuel Fuchs ()
Additional contact information
Thomas Heinze: University of Wuppertal
Joel Emanuel Fuchs: University of Wuppertal
Scientometrics, 2022, vol. 127, issue 12, No 24, 7273-7288
Abstract:
Abstract This paper examines the distribution of Nobel laureates in Physiology/Medicine, Physics, and Chemistry across countries and research organizations. We provide basic information about where future laureates received their education and/or conducted their research, then present heat maps depicting country and organizational specialization patterns. In addition, we identify the organizational ultra-elite in science: universities and research institutes that show continuously above-average numbers of future laureates, typically in one career phase. Furthermore, we identify those universities and research institutes that have undergone considerable growth (or decline) in their capabilities for highly innovative research. Also, we compare country-specific profiles with those at the organizational level. Our findings are interpreted in the light of findings from comparative-historical studies.
Keywords: Activity Index (AI); Nobel prize; Index of Relative Specialization (RESP); Research competition of countries; Competition of research institutions; Nobel Prize careers; Organizational ultra-elite (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04250-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-021-04250-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-021-04250-0
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().