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.
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- Ortega, José Luis & López-Romero, Elena & Fernández, Inés, 2011. "Multivariate approach to classify research institutes according to their outputs: The case of the CSIC's institutes," Journal of Informetrics, Elsevier, vol. 5(3), pages 323-332.
- 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.
- Seiler, Christian & Wohlrabe, Klaus, 2012. "Ranking economists on the basis of many indicators: An alternative approach using RePEc data," Journal of Informetrics, Elsevier, vol. 6(3), pages 389-402.
- 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.
- Costas, Rodrigo & Bordons, María, 2007. "The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level," Journal of Informetrics, Elsevier, vol. 1(3), pages 193-203.
- Eugster, Manuel J.A. & Leisch, Friedrich, 2011. "Weighted and robust archetypal analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1215-1225, March.
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