AbstractWe 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.
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Bibliographic InfoPaper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 3990.
Date of creation: 2012
Date of revision:
archetypal analysis; classification; scientists; RePEc;
Find related papers by JEL classification:
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
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- Halkos, George & Tzeremes, Nickolaos, 2011.
"Measuring economic journals’ citation efficiency: A data envelopment analysis approach,"
29893, University Library of Munich, Germany.
- George Emm. Halkos & Nickolaos G. Tzeremes, 2011. "Measuring Economic Journals' Citation Efficiency: A Data Envelopment Analysis Approach," EERI Research Paper Series EERI_RP_2011_13, Economics and Econometrics Research Institute (EERI), Brussels.
- Christian Seiler & Klaus Wohlrabe, 2011. "Ranking Economists on the Basis of Many Indicators: An Alternative Approach Using RePEc Data," CESifo Working Paper Series 3691, CESifo Group Munich.
- Eugster, Manuel J.A. & Leisch, Friedrich, 2011. "Weighted and robust archetypal analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1215-1225, March.
- Christian Seiler & Klaus Wohlrabe, 2012. "Archetypal Analysis: Ein neuer Ansatz zur Klassifizierung von Wissenschaftlern," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 65(22), pages 07-12, November.
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