Discovering types of research performance of scientists with significant contributions
Yu-Wei Chang (),
Dar-Zen Chen () and
Mu-Hsuan Huang ()
Additional contact information
Yu-Wei Chang: National Taiwan University
Dar-Zen Chen: National Taiwan University
Mu-Hsuan Huang: National Taiwan University
Scientometrics, 2020, vol. 124, issue 2, No 34, 1529-1552
Abstract:
Abstract This study compared the longitudinal research performance of 50 biological scientists who received the National Medal of Science (NMS) between 1995 and 2014 and who shared the honor of receiving a fellowship from the American Academy of Arts and Sciences. Fifty NMS scientists were categorized based on their annual number of publications (research productivity) and their annual average number of citations received per publication (research influence). These categories covered all their articles, conference papers, and review articles before 2018 indexed by databases of Web of Science, divided into three periods. Results demonstrated that the primary type of research productivity was the same as that of research influence, indicating an upward trend in the first period but a decreasing trend in the second and third periods. Few scientists had their influential scientific contributions being practically applied and presented in the format of a book. Research performance among 50 NMS scientists varied at the individual level. However, no aggregate and statistically significant differences were identified between groups of 50 NMS winners with respect to characteristics related to research performance. Although no clear relationship was identified between research performance and scientific contribution, research productivity had a weaker association with scientific contribution than did research influence.
Keywords: Research performance; Scientific contribution; National Medal of Science (search for similar items in EconPapers)
Date: 2020
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/s11192-020-03533-2 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:124:y:2020:i:2:d:10.1007_s11192-020-03533-2
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-020-03533-2
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 ().