IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v65y2012i22p07-12.html
   My bibliography  Save this article

Archetypal Analysis: Ein neuer Ansatz zur Klassifizierung von Wissenschaftlern

Author

Listed:
  • Christian Seiler
  • Klaus Wohlrabe

Abstract

Neben hochwertigen Publikationen nehmen Rankings einen immer größeren Stellenwert in der Wissenschaft ein. Der vorliegende Artikel stellt ein neues Verfahren zur Klassifizierung von Wissenschaftlern vor, die Archetypal Analysis, und illustriert dies anhand von Daten aus dem RePEc-Netzwerk, eines der umfangreichsten Datenbanken von wissenschaftlichem Output in den Wirtschaftswissenschaften. Die Archetypal Analysis ist ein neuer Klassifikationsansatz, der die Identifikation von extremen Beobachtungen in einem hochdimensionalen Datensatz ermöglicht. Diese Extremwerte werden als Archetypen bezeichnet. Darauf aufbauend können alle im Datensatz erfassten Wissenschaftler anteilig diesen Archetypen zugeordnet werden. Der Ansatz erlaubt eine differenziertere Darstellung von Charakterisierungen, die auch über die Anzahl der verwendeten Variablen hinausgehen kann.

Suggested Citation

  • Christian Seiler & Klaus Wohlrabe, 2012. "Archetypal Analysis: Ein neuer Ansatz zur Klassifizierung von Wissenschaftlern," 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
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/ifosd_2012_22_2.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christian Seiler & Klaus Wohlrabe, 2010. "RePEc – eine unabhängige Plattform zur wirtschaftswissenschaftlichen Output-Messung," 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Klaus Wohlrabe, 2014. "Eine Kritik des FAZ-Ökonomenrankings 2013," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(13), pages 63-67, July.
    2. Klaus Wohlrabe, 2013. "Einige Anmerkungen zum Handelsblatt-Ranking 2013," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(23), pages 79-83, December.
    3. Schupp, Claudia & Wache, Benjamin, 2014. "Wie groß ist der Einfluss von deutschen Wirtschaftsforschungsinstituten? Ein Ranking anhand von RePEc-Daten [How large is the influence of German economic research institutes? A ranking analysis us," MPRA Paper 55519, University Library of Munich, Germany.
    4. Klaus Wohlrabe, 2014. "Das FAZ-Ökonomenranking 2013: Eine kritische Betrachtung," ifo Working Paper Series 183, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Alexander Butz & Klaus Wohlrabe, 2016. "Die Ökonomen-Rankings 2015 von Handelsblatt, FAZ und RePEc: Methodik, Ergebnisse, Kritik und Vergleich," ifo Working Paper Series 212, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Klaus Wohlrabe, 2011. "Das Handelsblatt- und das RePEc-Ranking im Vergleich," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(17), pages 66-71, September.
    7. Daniel Birkmaier & Klaus Wohlrabe, 2014. "Der Matthäus-Effekt in der Ökonomie," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 67(17), pages 38-42, September.
    8. Baumann, Alexendra & Wohlrabe, Klaus, 2019. "Publikationen von Wirtschaftsforschungsinstituten im deutschsprachigen Raum - Eine bibliometrische Analyse [Publications of Economic Research Insitutes in the German Speaking Area - A bibliometric ," MPRA Paper 92240, University Library of Munich, Germany.
    9. Matthias Gnewuch & Klaus Wohlrabe, 2018. "Die (Super-)Effizienz von volkswirtschaftlichen Fakultäten," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(15), pages 30-34, August.
    10. Karol Paludkiewicz & Klaus Wohlrabe, 2010. "Qualitätsanalyse von Zeitschriften in den Wirtschaftswissenschaften – über Zitationsdatenbanken und Impaktfaktoren im Online-Zeitalter," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(21), pages 18-28, November.
    11. Lutz Bornmann & Alexander Butz & Klaus Wohlrabe, 2017. "Ein Meta-Ranking volkswirtschaftlicher Fachzeitschriften," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(16), pages 40-42, August.
    12. Klaus Wohlrabe, 2015. "Einige Anmerkungen zum FAZ-Ökonomenranking 2014," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 68(09), pages 24-27, May.
    13. Klaus Wohlrabe, 2018. "Einige Anmerkungen zum FAZ-Ökonomenranking 2018," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(20), pages 29-33, October.
    14. Katharina Rath & Klaus Wohlrabe, 2016. "Recent trends in co-authorship in economics: evidence from RePEc," Applied Economics Letters, Taylor & Francis Journals, vol. 23(12), pages 897-902, August.
    15. David L. Anderson & John Tressler, 2017. "Researcher rank stability across alternative output measurement schemes in the context of a time limited research evaluation: the New Zealand case," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4542-4553, September.
    16. Tom Coupé, 2022. "Who is the most sought‐after economist? Ranking economists using Google Trends," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 611-642, October.
    17. Birkmaier, Daniel & Wohlrabe, Klaus, 2014. "The Matthew effect in economics reconsidered," Journal of Informetrics, Elsevier, vol. 8(4), pages 880-889.
    18. Alexandra Baumann & Klaus Wohlrabe, 2020. "Where have all the working papers gone? Evidence from four major economics working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2433-2441, September.
    19. Sjoerd Beugelsdijk & Hester van Herk & Robbert Maseland, 2022. "The Nature of Societal Conflict in Europe; an Archetypal Analysis of the Postmodern Cosmopolitan, Rural Traditionalist and Urban Precariat," Journal of Common Market Studies, Wiley Blackwell, vol. 60(6), pages 1701-1722, November.
    20. Raphael Auer & Christian Zimmermann, 2020. "A journal ranking based on central bank citations," Vox eBook Chapters, in: Sebastian Galliani & Ugo Panizza (ed.), Publishing and Measuring Success in Economics, edition 1, volume 1, chapter 1, pages 57-63, Centre for Economic Policy Research.

    More about this item

    Keywords

    Wissenschaftler; Publikation; Datenbank; Ranking- Verfahren; Empirische Methode; Wirtschaftswissenschaft;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ifosdt:v:65:y:2012:i:22:p:07-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.