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Co-authorship networks and scientific performance of Italian academic statisticians

DE STEFANO, DOMENICO
•
V. Fuccella
•
M. P. Vitale
•
ZACCARIN, SUSANNA
2013
  • conference object

Abstract
The aim of this paper is to explore the effect of the use of three data sources –Web of Science, Current Index to Statistics and nationally funded research projects– on the analysis of co-authorship networks among Italian academic statisticians. Results provide evidence of our hypotheses on distinct collaboration patterns among statisticians, as well as distinct effects of scientist network positions on scientific performance, by both Statistics subfield and data source.
Archivio
http://hdl.handle.net/11368/2721524
Diritti
metadata only access
Soggetti
  • Bibliometric database...

  • Co-authorship data

  • Scientific performanc...

  • h-Index

  • Generalized Extreme V...

Visualizzazioni
4
Data di acquisizione
Apr 19, 2024
Vedi dettagli
google-scholar
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