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.
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References
Abramo, G., D’angelo, C., & Solazzi., M. (2011). The relationship between scientists’ research performance and the degree of internalization of their research. Scientometrics,86(3), 629–643.
Aksnes, D. W., & Rip, A. (2009). Researchers’ perceptions of citations. Research Policy,38, 895–905.
Borjas, G. J., & Doran, K. (2015). Prizes and productivity: How winning the fields medal affects scientific output. Journal of Human Resources,50(3), 728–758.
Bourke, P., & Butler, L. (1996). Publication types, citation rates and evaluation. Scientometrics,37(3), 473–494.
Chan, H. F., Frey, B. S., Gallus, J., & Torgler, B. (2014). Academic honors and performance. Labour Economics,31, 188–204.
de Arenas, J. L., & Arenas, J. V. M. (1999). Profile of the Mexican health science elite: A bibliometric analysis of research performance. Scientometrics,46(3), 539–547.
de Arenas, J. L., Arenas, M., Márquez, S., & Pérez, C. (2008). An insight into the Matthew effect in Mexico. Library Review,57(5), 386–391.
Erfanmanesh, M., & Moghiseh, Z. (2019). How winning an international scientific award affects publishing behavior of laureates: The case of Derek de Solla Price Medal in scientometrics. Publishing Research Quarterly,35(2), 201–212.
Greehalgh, T., Raftery, J., Hanney, S., & Glover, M. (2016). Research impact: A narrative review. BMC Medicine. https://doi.org/10.1186/s12916-016-0620-8.
Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceeding of the National Academy of Sciences of the United States of America,102(46), 16569–16572.
Lee, D. J., Mutya, K., Herbert, B. E., & Mejia, E. V. (2019). Exploring scholarly impact metrics in receipt of highly prestigious awards. Lecture Notes in Computer Science,11420, 147–153.
Liu, X., Yu, M., Chen, D. Z., & Huang, M. H. (2018). Tracking research performance before and after receiving the Cheung Kong Scholars award: A case study of recipients in 2005. Research Evaluation,27(4), 367–379.
Mutz, R., Bornmann, L., & Daniel, H. D. (2013). Types of research output profiles: A multilevel latent class analysis of the Austrian Science Fund’s final project report data. Research Evaluation,22(2), 118–133.
National Science Foundation. (2018). Nomination information. Retrieved April 7, 2019 from: https://www.nsf.gov/od/nms/nominations.jsp.
O’Connell, D., & Rugman, A. (2013). The research productivity of the AIB Farmer Award finalists. Multinaitonal Business Review,21(4), 298–311.
Perlin, M. S., Santos, A. A. P., Imasato, T., Borenstein, D., & Da Silva, S. (2017). The Brazilian scientific output published in journals: A study based on a large CV database. Journal of Informetrics,11(1), 18–31.
Slutsky, B., & Aytac, S. (2018). Nobel, Priestley, and Perkin Medal winners in chemistry: Their publication productivity for the years 1992–2016. Science and Technology Libraries,37(2), 211–220.
Yair, G., Gueta, N., & Davidovitch, N. (2017). The law of limited excellence: Publication productivity of Israel Prize laureates in the life and exact sciences. Scientometrics,113(1), 299–311.
Zheng, J., & Liu, N. (2015). Mapping of import international academic awards. Scientometrics,104(3), 763–791.
Acknowledgements
This work was financially supported by the Center for Research in Econometric Theory and Applications (Grant No. 108L900204) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and by the Ministry of Science and Technology (MOST), Taiwan, under Grant Nos. MOST 108-3017-F-002-003- and MOST 108-2410-H-002-219.
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Chang, YW., Chen, DZ. & Huang, MH. Discovering types of research performance of scientists with significant contributions. Scientometrics 124, 1529–1552 (2020). https://doi.org/10.1007/s11192-020-03533-2
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DOI: https://doi.org/10.1007/s11192-020-03533-2