Scaling phenomena in the growth dynamics of scientific output

Journal of the American Society for Information Science and Technology

Volumn 56, Issue 9, 2005, Pages 893-902

  Matia, Kaushik ^a   Amaral, Luis A Nunes ^a,b   Luwel, Marc ^c   Moed, Henk F ^d   Stanley, H Eugene ^a  

^a Boston University ^*  (United States)

^b Northwestern University   (United States)

^c Ministry of the Flemish Community   (Belgium)

^d LEIDEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ANNUAL GROWTH RATES; GROWTH DYNAMICS; SCALING; SCIENTIFIC OUTPUT;

DATABASE SYSTEMS; DECISION MAKING; ECONOMIC AND SOCIAL EFFECTS; INFORMATION SCIENCE; PUBLIC POLICY; RESEARCH AND DEVELOPMENT MANAGEMENT; SOCIETIES AND INSTITUTIONS; SUSTAINABLE DEVELOPMENT;

DATA REDUCTION;

EID: 23044451813     PISSN: 15322882     EISSN: None     Source Type: Journal    
DOI: 10.1002/asi.20183     Document Type: Review

References (28)

1. Amaral, L.A.N., Buldyrev, S.V., Havlin, S., Leschhorn, H., Maass, P., Salinger, M.A., et al. (1997). Scaling behavior in economics: I. Empirical results for company growth. Journal of Physics I France, 7, 621-633.
2. Amaral, L.A.N., Gopikrishnan, P., Matia, K., Plerou, V., & Stanley, H.E. (2001). Application of statistical physics methods and concepts to the study of science and technology systems. Sociometrics, 51, 9-36.
3. Buldyrev, S.V., Amaral, L.A.N., Havlin, S., Leschhorn, H., Maass, P., Salinger, M.A., et al. (1997). Scaling behavior in economics: II. Modeling of company growth. Journal of Physics I France, 7, 635-650.
4. Canning, D., Amaral, L.A.N., Lee, Y., Meyer, M., & Stanley, H.E. (1998). A power law for scaling the volatility of GDP growth rates with country size. Economic Letters, 60, 335-341.
5. Centre for Science and Technology Studies (CWTS). (2000). Proceedings of the Sixth International Conference on Science and Technology Indicators (S&T 2000). Leiden: Author.
6. Chandler, A. (1962). Strategy and structure. Cambridge, MA: MIT Press.
7. de Solla Price, D. (1963). Little science, big science. New York: Columbia University Press.
8. Durlauf, S.N. (1996). On the convergence and divergence of growth rates. The Economic Journal, 106, 1016-1018.
9. Durlauf, S.N., & Johnson, P. (1995). Multiple regimes and cross-country growth behavior. Journal of Applied Economics, 10, 365-384.
10. Garfield, E. (1979). Citation indexing: Its theory and applications in science, technology and humanities. New York: Wiley.
11. Gibrat, R. (1931). Les inegalites economiques. Paris: Sirey.
12. Gort, M. (1962). Diversification and integration in American industry. Princeton, NJ: Princeton University Press.
13. Jaffe, A.B., & Trajtenberg, M. (1996). Flows of knowledge from universities and federal laboratories: Modeling the flow of patent citations over time and across institutional and geographic boundaries. Proceedings of the National Academy of Sciences USA, 93, 12671-12677.
14. Keitt, T., & Stanley, H.E. (1998). Scaling in the dynamics of North American breeding-bird populations. Nature, 393, 257.
15. Keitt, T.H., Amaral, L.A.N., Buldyrev, S.V., & Stanley, H.E. (2002). Scaling in the growth of geographically subdivided populations: Scale-invariant patterns from a continent-wide biological survey [Special issue]. Philosophical Transactions of the Royal Society B: Biological Sciences, 357, 627-633.
16. Luwel, M., Noyons, E.C.M., & Moed, H.F. (1999). Bibliometric assessment of research performance in flanders: Policy background and implications. R&D Management, 29, 133-141.
17. Mansfield, E. (1991). Academic research and industrial-innovation. Research Policy, 20, 1-12.
18. Matia, K., Fu, D., Buldyrev, S.V., Pammolli, F., Riccaboni, M., & Stanley, H.E. (2004). Statistical properties of business firms structure and growth, Europhysics Letters, 67(3), 498-503.
19. Moed, H.F., De Bruin, R.E., & Van Leeuwen, Th.N. (1995). New bibliometric tools for the assessment of national research performance: Database description, overview of indicators and first applications. Scientometrics, 33, 381-422.
20. Moed, H.F., & Luwel, M. (1999). Science policy: The business of research. Nature, 400, 411-412.
21. National Science Board. (2000). Science & Engineering Indicators - 2000. Arlington, VA: Author.
22. Pakes, A., & Sokoloff, K.L. (1996). Science, technology, and economic growth. Proceedings of the National Academy of Sciences USA, 93, 12655-12657.
23. Plerou, V., Amaral, L.A.N., Gopikrishnan, P., Meyer, M., & Stanley, H.E. (1999). Similarities between the growth dynamics of university research and of competitive economic activities. Nature, 400, 433-437.
24. Stanley, M.H.R., Amaral, L.A.N., Buldyrev, S.V., Havlin, S., Leschhorn, H., Maass, P., et al. (1996). Scaling behavior in the growth of companies. Nature, 379, 804-806.
25. Stanley, H.E. (1999). Scaling, universality, and renormalization: Three pillars of modern critical phenomena [Special issue]. Review of Modern Physics, 71, S358-S366.
26. Sutton, J. (2002). The variance of firm growth rates: The 'scaling' puzzle. Physica, 312, 577-587.
27. Takayasu, H., & Kuyama, K. (1998). Country dependence on company size distributions and a numerical model based on competition and cooperation. Fractals, 6, 67-79.
28. Wyart, M., & Bouchaud, J.P. (2003, August 1). Statistical models for company growth. Physica A-Statistical Mechanics and Its Applications, 326(1-2), 241-255.