Archetypal scientists

Christian Seiler and Klaus Wohlrabe

Journal of Informetrics, 2013, vol. 7, issue 2, 345-356

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 scientist 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.

Keywords: Archetypal analysis; Classification; Scientists; RePEc (search for similar items in EconPapers)
JEL-codes: A12 A14 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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Working Paper: Archetypal Scientists (2012)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:7:y:2013:i:2:p:345-356

DOI: 10.1016/j.joi.2012.11.013

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