Research field: Physics - Statistical Physics
quantitative sociology, econophysics of market dynamics, quantitative analysis of careers, quantitative linguistics, quantitative analysis of sports data, data mining
Journal Article (14)
Alexander M Petersen, Woo-Sung Jung, Jae-Suk Yang et al. (2011) Quantitative and empirical demonstration of the Matthew effect in a study of career longevity., 18-23. In Proceedings of the National Academy of Sciences of the United States of America 108 (1).
Alexander M Petersen, Joel Tenenbaum, Shlomo Havlin et al. (2011) Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death, 31. In Arxiv preprint arXiv11073707.
Alexander M. Petersen, H. Eugene Stanley, Sauro Succi (2011) Statistical regularities in the rank-citation profile of scientists. In Scientific Reports.
Alexander Petersen, Fengzhong Wang, Shlomo Havlin et al. (2010) Market dynamics immediately before and after financial shocks: Quantifying the Omori, productivity, and Bath laws. In Physical Review E 82 (3).
A. M. Petersen, O. Penner, H. E. Stanley (2010) Methods for detrending success metrics to account for inflationary and deflationary factors*, 67-78. In The European Physical Journal B 79 (1).
Alexander M Petersen, Fengzhong Wang, H Eugene Stanley (2010) Methods for measuring the citations and productivity of scientists across time and discipline, 036114. In Physical Review E - Statistical, Nonlinear and Soft Matter Physics 81 (3 Pt 2).
Alexander M Petersen, Fengzhong Wang, Shlomo Havlin et al. (2010) Quantitative law describing market dynamics before and after interest-rate change, 066121. In Physical Review E - Statistical, Nonlinear and Soft Matter Physics 81 (6 Pt 2).
B. Podobnik, D. Horvatic, A. M. Petersen et al. (2009) Common scaling behavior in finance and macroeconomics, 487-490. In The European Physical Journal B 76 (4).
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I received my Ph. D. in Physics from Boston University in May 2011 (Advisor: H. Eugene Stanley). I am currently an Asst. professor at the IMT Institute for Advanced Studies Lucca in the Department of Economics and Institutional Change. My curricula and research have focused on the analysis of stochastic phenomena in the social and economic sciences using concepts and methods from statistical physics. I perform high-frequency analysis of Trades and Quotes (TAQ) financial data, and analyze measures for longevity, success, and productivity in science and professional sports. Using methods from statistical mechanics, I search for statistical regularities which can be used to better understand patterns in the growth of individual careers.
May 2001 - May 2003
Mathematics Dept., University of Utah in Salt Lake City, Utah, United States
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