Abstract
Nobel laureates have achieved the highest recognition in academia, reaching the boundaries of human knowledge and understanding. Owing to past research, we have a good understanding of the career patterns behind their performance. Yet, we have only limited understanding of the factors driving their recognition with respect to major institutionalized scientific honours. We therefore look at the award life cycle achievements of the 1901–2000 Nobel laureates in physics, chemistry, and physiology or medicine. The results show that Nobelists with a theoretical orientation achieved more awards than laureates with an empirical orientation. Moreover, it seems their educational background shapes their future recognition. Researchers educated in Great Britain and the US tend to attract more awards than other Nobelists, although there are career pattern differences. Among those, laureates educated at Cambridge or Harvard are more successful in Chemistry, those from Columbia and Cambridge excel in Physics, while Columbia educated laureates dominate in Physiology or Medicine.
Similar content being viewed by others
Notes
Kolbert (2007) nicely points out this problem in an article in The New Yorker, discussing particle physics and the work environment around CERN’s Large Hadron Collider.
To better clarify his point: qualitative research which can be theoretical but also empirical is the prerequisite to a successful quantification (p. 213).
“… the methodological directive, “Go ye forth and measure,” may well prove only an invitation to waste time. If doubts about this point remain, they should be quickly resolved by a brief review of the role played by quantitative techniques in the emergence of the various physical sciences” Kuhn (1977, p. 213).
For laureates who received the Nobel Prize twice, we use only the first Nobel Prize award [i.e. Marie Curie (Chemistry 1911), John Bardeen (Physics 1972) and Frederick Sanger (Chemistry 1980)].
For example, Walter Kohn has PhDs from Harvard (1951) and Toronto (1954). We therefore classify him under Toronto and Canada. Alan G. MacDiarmid is another example with a Ph.D. from University of Wisconsin (1958) and from Cambridge (1961). He is therefore classified under Cambridge and Great Britain.
In 21 cases (out of 525 laureates) they observed a combination of theoretical and empirical work. These were classified under theoretical.
All the t-tests in this paper are conducted with single yearly values rather than moving averages.
For a discussion on the test see Cameron and Trivedi (2009, p. 561).
References
Aubrey, J. (1898/2007). Lives of eminent men. London: Hesperus Classics.
Azoulay, P., Stuart, T., & Wang, Y. (2014). Matthew: Effect or fable? Management Science, 60(1), 92–109.
Cameron, A. C., & Trivedi, P. K. (2009). Microeconometrics using Stata. College Station: A Stata Press Publication.
Cattell, J. M., & Brimhall, D. R. (1921). American men of science: A biographical directory. Garrison, NY: The Science Press.
Chan, H. F., Bruno, F., Gallus, J., & Torgler, B. (2014a). Academic honors and performance. Labour Economics. doi:10.1016/j.labeco.2014.05.005.
Chan, H. F., Gleeson, L., & Torgler, B. (2014b). Awards before and after the Nobel Prize: A Matthew effect and/or a ticket to one’s own funeral? Research Evaluation. doi:10.1093/reseval/rvu011.
Cox, R. A. K., & Chung, K. H. (1991). Patterns of research output and author concentration in the economics literature. Review of Economics and Statistics, 73(4), 740–747.
Erren, T. C. (2008). Hamming’s ‘‘open doors’’ and group creativity as keys to scientific excellence: The example of Cambridge. Medical Hypotheses, 70(3), 473–477.
Frey, B. S. (2007). Awards as compensation. European Management Review, 4(1), 6–14.
Galton, F. (1874). English men of science: Their nature and nurture. London: MacMillan.
Hirsch, B. T., Austin, R., Brooks, J., & Moore, J. B. (1984). Economics departmental rankings: Comments. American Economic Review, 74(4), 822–826.
Hogan, T. D. (1986). The publishing performance of U.S. Ph.D. programs in economics during the 1970s. Journal of Human Resources, 21(2), 216–229.
Johnston, D. W., Piatti, M., & Torgler, B. (2013). Citation success over time: Theory or empirics? Scientometrics, 95(3), 1023–1029.
Jones, B. F., & Weinberg, B. A. (2011). Age dynamics in scientific creativity. Proceedings of the National Academy of Sciences, 108, 18910–18914.
Kolbert, E. (2007). Annals of science: Crash course. Can a seventeen-mile-long collider unlock the universe? The New Yorker. http://www.newyorker.com/reporting/2007/05/14/070514fa_fact_kolbert?currentPage=all. Accessed 31 May 2013.
Kuhn, T. S. (1977). The essential tension. Selected studies in scientific tradition. Chicago: The University of Chicago Press.
Kurian, G. T. (2002). The Nobel scientists: A biographical encyclopedia. Amherst: Prometheus Books.
Merton, R. K. (1968). The Matthew effect in science. Science, 159, 56–63.
Merton, R. K. (1969). Behavior patterns of scientists. American Scientist, 57, 1–23.
Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: Chicago University Press.
Norrby, E. (2010). Nobel Prizes and life sciences. Hackensack, NJ: World Scientific.
Rablen, M. D., & Oswald, A. J. (2008). Mortality and immortality: The Nobel Prize as an experiment into the effect of status upon longevity. Journal of Health Economics, 27(6), 1462–1471.
Samuelson, P. A. (2004). Paul A. Samuelson. In W. Breit & B. T. Hirsch (Eds.), Lives of the laureates: Eighteen Nobel Economists (pp. 49–64). Cambridge, MA: MIT Press.
Simon, H. A. (2008). Colloquium with H. A. Simon. In H. A. Simon, M. Egidi, R. Marris, & R. Viale (Eds.), Economics, bounded rationality and the cognitive revolution (pp. 8–36). Edward Elgar: Cheltenham.
Stephan, P. (2012). How economics shapes science. Cambridge, MA: Harvard University Press.
Stephan, P. E., & Levin, S. G. (1993). Age and Nobel Prize revisited. Scientometrics, 28(3), 387–399.
Torgler, B., & Piatti, M. (2013). A century of American economic review: Insights on critical factors in journal publishing. Hampshire: Palgrave/MacMillan.
Waldinger, F. (2012). Peer effects in science: Evidence from the dismissal of scientists in Nazi Germany. Review of Economic Studies, 79(2), 838–861.
Wilson, E. O. (1998). Consilience: The unity of knowledge. New York: Vintage Books.
Zuckerman, H. (1996). Scientific elite: Nobel laureates in the United States. New Brunswick: Transaction Publishers.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chan, H.F., Torgler, B. The implications of educational and methodological background for the career success of Nobel laureates: an investigation of major awards. Scientometrics 102, 847–863 (2015). https://doi.org/10.1007/s11192-014-1367-7
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-014-1367-7