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Michele Pezzoni

Researcher at Bocconi University

Publications -  52
Citations -  1015

Michele Pezzoni is an academic researcher from Bocconi University. The author has contributed to research in topics: Productivity & Promotion (rank). The author has an hindex of 17, co-authored 48 publications receiving 795 citations. Previous affiliations of Michele Pezzoni include Centre national de la recherche scientifique & Collegio Carlo Alberto.

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Career progress in centralized academic systems: Social capital and institutions in France and Italy

TL;DR: In this paper, the role of social capital in academic careers is analyzed and the authors distinguish between ties with reputed scientists and laboratories (scientific and technical human capital) and ties with influential actors with respect to recruitment/promotion decisions.
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Scientific Productivity and Academic Promotion: A Study on French and Italian Physicists.

TL;DR: In this paper, the authors examined the determinants of scientific productivity (number of articles and journals' impact factor) for a panel of about 3600 French and Italian academic physicists active in 2004-2005.
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Gender and the Publication Output of Graduate Students: A Case Study

TL;DR: The gender effects are reasonably modest, and past research on processes of positive feedback and cumulative advantage suggest that the difference will grow, not shrink, over the careers of these recent cohorts.
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Does Gender Affect Scientific Productivity?: A Critical Review of the Empirical Evidence and a Panel Data Econometric Analysis for French Physicists.

TL;DR: In this article, a revue critique des travaux empiriques sur cette question, nous present les resultats d'une analyse econometrique conduite en parallele sur deux echantillons de panels representatifs des chercheurs en physique du cnrs and des enseignant-chercheurs in physique des universites francaises.
Posted Content

How To Kill Inventors: Testing The Massacrator© Algorithm For Inventor Disambiguation

TL;DR: In this article, a number of refinements to the Massacrator© algorithm, originally proposed by Lissoni et al. (2006) and now applied to APE-INV, is presented.