Abstract
Despite much scholarly fascination with the question of whether great minds appear in cycles, together with some empirical evidence that historical cycles exist, prior studies mostly disregard the “great minds” hypothesis as it relates to scientists. Rather, researchers assume a linear relation based on the argument that science is allied with the development of technology. To probe this issue further, this study uses a ranking of over 5600 scientists based on number of appearances in Google Books over a period of 200 years (1800–2000). The results point to several peak periods, particularly for scientists born in the 1850–1859, 1897–1906, or 1900–1909 periods, suggesting overall cycles of around 8 years and a positive trend in distinction that lasts around 100 years. Nevertheless, a non-parametric test to determine whether randomness can be rejected indicates that non-randomness is less apparent, although once we analyse the greatest minds overall, rejection is more likely.
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Notes
For an overview of the studies related to society and creativity, see Gowan and Olson (1979).
One analysis of a top economics journal demonstrates that the citation peak of articles is reached after 5 years (Johnston et al. 2013). McDowell (1982), in a discussion of the rate of knowledge obsolescence or depreciation reflected in the age profile of cited works in different disciplines, finds the largest decay rate in physics and chemistry (an annual average of 18.30), followed by economics (13.18), sociology and psychology (10.82), biology (8.68), history (3.85), and English (2.67).
Data available from http://fame.gonzolabs.org/datasets (Adrian Veres is a co-contributor to the data set).
See http://fame.gonzolabs.org/release-notes for the details on scientist selection and construction of the mD measure.
Five point 3 % of scientists are classified into two or more fields.
For example, the 10-year moving average mD at time t equals t −5*1/512 + t −4*9/512 + ··· + t*126/512 + ··· + t +3*9/512 + t +4*1/512.
References
Aiden, E., & Michel, J.-B. (2013). Big data as a lens on human vulture. New York: Riverhead Books.
Becker, M. (1995). Nineteenth-century foundations of creativity research. Creativity Research Journal, 8(3), 219–229.
Bohannon, J. (2011). The science hall of fame. Science, 331(6014), 143.
Gowan, J. C., & Olson, M. (1979). The society which maximizes creativity. Journal of Creative Behavior, 13(3), 194–210.
Gray, C. E. (1966). A measurement of creativity in western civilization. American Anthropologist, 68(6), 1384–1417.
Howe, M. J. A. (1999). Genius explained. Cambridge: Cambridge University Press.
James, W. (1880). Great men, great thoughts and the environment. Atlantic Monthly, 46(276), 441–459.
Johnston, D. W., Piatti, M., & Torgler, B. (2013). Citation success over time: Theory or empirics? Scientometrics, 95(3), 1023–1029.
Kroeber, A. L. (1944). Configurations of culture growth. Berkeley: University of California Press.
McDowell, J. M. (1982). Obsolescence of knowledge and career publication profiles: Some evidence of differences among fields in costs of interrupted careers. American Economic Review, 72(4), 752–768.
Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: Chicago University Press.
Michel, J.-B., Shen, Y. K., Aiden, A. P., Veres, A., Gray, M. K., The Google Books Team, et al. (2011). Quantitative analysis of culture using millions of digitized books. Science, 331(6014), 176–182.
Naroll, R., Benjamin, E. C., Fohl, F. K., Fried, M. J., Hildreth, R. E., & Schaefer, J. M. (1971). Creativity: A cross-historical pilot survey. Journal of Cross-Cultural Psychology, 2(2), 181–188.
Schumpeter, J. A. (1934/1983). The theory of economic development: An inquiry into profits, capital, credit, interest, and the business cycle. New Brunswick, NJ: Transaction Publishers.
Schweber, S. S. (2003). Quantum field theory: From QED to the standard model. In M. J. Nye (Ed.), The Cambridge History of Science. Volume 5. The modern physical and mathematical sciences (pp. 375–393). Cambridge: Cambridge University Press.
Schweber, S. S. (2008). Einstein and oppenheimer: The meaning of genius. Cambridge, MA: Harvard University Press.
Simonton, D. K. (1975a). Sociocultural context of individual creativity: A transhistorical time-series analysis. Journal of Personality and Social Psychology, 32(6), 1119–1133.
Simonton, D. K. (1975b). Age and literary creativity: A cross-cultural and transhistorical survey. Journal of Cross-Cultural Psychology, 6(3), 259–277.
Simonton, D. K. (1976a). Philosophical eminence, beliefs, and zeitgeist: An individual-generational analysis. Journal of Personality and Social Psychology, 34(4), 630–640.
Simonton, D. K. (1976b). The Causal relation between war and scientific discovery: An exploratory cross-national analysis. Journal of Cross-Cultural Psychology, 7(2), 133–144.
Simonton, D. K. (1976c). Biographical determinants of achieved eminence: A multivariate approach to the Cox data. Journal of Personality and Social Psychology, 33(2), 218–226.
Simonton, D. K. (1978). The eminent genius in history: The critical role of creative development. Gifted Child Quarterly, 22(2), 187–195.
Simonton, D. K. (1980). Thematic fame, melodic originality, and musical zeitgeist: A biographical and transhistorical content analysis. Journal of Personality and Social Psychology, 38(6), 972–983.
Simonton, D. K. (1984). Artistic creativity and interpersonal relationships across and within generations. Journal of Personality and Social Psychology, 46(6), 1273–1286.
Simonton, D. K. (2013). Scientific genius is extinct. Nature, 493(7434), 602.
Simonton, D. K. (2014a). Creative performance, expertise acquisition, individual differences, and developmental antecedents: An integrative research approach. Intelligence, 45, 66–73.
Simonton, D. K. (Ed.). (2014b). The Wiley handbook of genius. Oxford: Wiley Blackwell.
Sorokin, P. A. (1957). Social and cultural dynamics. Boston: Porter Sargent Publisher.
Turchin, P. (2003). Historical dynamics: Why states rise and fall. Princeton: Princeton University Press.
Turchin, P., & Nefedov, S. A. (2009). Secular cycles. Princeton: Princeton University Press.
Yukawa, H. (1978). Creativity and intuition: A physicist looks at east and west. Tokyo, New York: Kodansha International.
Acknowledgments
For advice and suggestions, thanks are due to two anonymous referees. We acknowledge financial support from the Australian Research Council (FT110100463).
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Chan, H.F., Torgler, B. Do great minds appear in batches?. Scientometrics 104, 475–488 (2015). https://doi.org/10.1007/s11192-015-1620-8
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DOI: https://doi.org/10.1007/s11192-015-1620-8