Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/67519
Authors: 
Seiler, Christian
Wohlrabe, Klaus
Year of Publication: 
2012
Series/Report no.: 
CESifo Working Paper: Empirical and Theoretical Methods 3990
Abstract: 
We introduce archetypal analysis as a tool to describe and categorize scientists. This approach identifies typical characteristics of extreme ('archetypal') values in a multivariate data set. These positive or negative contextual attributes can be allocated to each scientists under investigation. In our application, we use a sample of seven bibliometric indicators for 29,083 economists obtained from the RePEc database and identify six archetypes. These are mainly characterized by ratios of published work and citations. We discuss applications and limitations of this approach. Finally, we assign relative shares of the identified archetypes to each economist in our sample.
Subjects: 
archetypal analysis
classification
scientists
RePEc
JEL: 
A12
A14
Document Type: 
Working Paper

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