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Statistics of statisticians: Critical masses for research groups
Author(s) -
Kenna Ralph,
Berche Bertrand
Publication year - 2012
Publication title -
significance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 21
eISSN - 1740-9713
pISSN - 1740-9705
DOI - 10.1111/j.1740-9713.2012.00617.x
Subject(s) - face (sociological concept) , work (physics) , quality (philosophy) , group (periodic table) , computer science , statistics , data science , operations research , sociology , mathematical economics , psychology , mathematics , epistemology , chemistry , physics , social science , philosophy , thermodynamics , organic chemistry
If you work in a group of researchers, how big should your group be? Too small, and you have no one to bounce ideas off – and you may face extinction by funding cuts. Big groups bring fertile interactions and better‐quality work. So is bigger always better? And does it depend on what you are researching? Ralph Kenna and Bertrand Berche have found out …