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Archetypal Analysis: A New Approach to Classifying Researchers

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  • Christian Seiler
  • Klaus Wohlrabe

Abstract

Alongside high-level publications, rankings are assuming an ever growing importance in the academic world. This article presents a new process for classifying academics, the archetypal analysis, and illustrates how it works using data from the RePEc network, one of the most comprehensive databanks on the academic output generated by economic sciences. Archetypal analysis represents a new approach to classification, which enables the identification of extreme observations in a high-dimensional dataset. These extreme values are described as archetypes. Building on these descriptions, all of the researchers covered by the data set can be allocated archetypes pro rata. The approach enables a differentiated representation of characterisations that can exceed the number of variables used.

Suggested Citation

  • Christian Seiler & Klaus Wohlrabe, 2012. "Archetypal Analysis: A New Approach to Classifying Researchers," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 65(22), pages 07-12, November.
    • Handle: RePEc:ces:ifosdt:v:65:y:2012:i:22:p:07-12
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    References listed on IDEAS

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    1. Christian Seiler & Klaus Wohlrabe, 2010. "RePEc - an independent platform to measure research output in economics," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(07), pages 43-48, April.
    2. Robert Hofmeister & Heinrich W. Ursprung, 2008. "Das Handelsblatt Ökonomen‐Ranking 2007: Eine kritische Beurteilung," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 254-266, August.
    3. 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.
    4. Seiler, Christian & Wohlrabe, Klaus, 2013. "Archetypal scientists," Journal of Informetrics, Elsevier, vol. 7(2), pages 345-356.
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    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • A29 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Other
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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