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Classifying top economists using archetypoid analysis

Wohlrabe, Klaus; Gralka, Sabine Marlene - 2020

Updating the study by Seiler and Wohlrabe (2013) we use archetypoid analysis to classify top economists. The approach allows us to identify typical characteristics of extreme (archetypal) values in a multivariate data set. In contrast to its predecessor, the archetypal analysis, archetypoids...

Persistent link: https://www.econbiz.de/10012203545

Archetypal scientists

Seiler, Christian; Wohlrabe, Klaus - In: Journal of Informetrics 7 (2013) 2, pp. 345-356

,083 economists obtained from the RePEc database and identify six archetypes. These are mainly characterized by ratios of published …

Persistent link: https://www.econbiz.de/10010795186

Classifying top economists using archetypoid analysis

Wohlrabe, Klaus; Gralka, Sabine Marlene - 2020

Persistent link: https://www.econbiz.de/10012202406

Using archetypoid analysis to classify institutions and faculties of economics

Wohlrabe, Klaus; Gralka, Sabine Marlene - 2019

economics. Our dataset contains seven bibliometric indicators for 298 top-level institutions obtained from the RePEc database …

Persistent link: https://www.econbiz.de/10012156376

Classifying top economists using archetypoid analysis

Gralka, Sabine Marlene; Wohlrabe, Klaus - 2021

Persistent link: https://www.econbiz.de/10012599140

Classifying top economists using archetypoid analysis

Gralka, Sabine Marlene; Wohlrabe, Klaus - In: Applied economics letters 29 (2022) 14, pp. 1342-1346

Persistent link: https://www.econbiz.de/10013412159