• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. There goes another one: Introducing the NUCA-set of indicators
 
  • Details
  • Full
Options
2011
Conference Paper
Titel

There goes another one: Introducing the NUCA-set of indicators

Abstract
Indicators that provide a means of evaluation of research have been at the heart of bibliometric studies since the beginning of the discipline. In this research-in-progress paper we introduce a new set of measures and indicators in order to complement existing evaluation methods of research excellence for single authors and highlight a new facet of bibliometric methods. Existing measures normally use publication and citation numbers as the basis for the calculation of an indicator. The NUCA-set (Number of unique citing authors) of indicators uses the number of authors that cited the evaluated author. These new indicators visualize cases where an author's work might have accumulated many citations but in reality only has been frequently cited by a small number of people. The NUCA-set leads to a more balanced evaluation and a more comprehensive evaluation profile if used in addition to already existing indicators like the H-index or the citation rate.
Author(s)
Jovanovic, M.
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Fritsche, F.
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Hauptwerk
ISSI 2011, 13th International Conference of the International Society of Scientometrics & Informetrics, Proceedings. Vol.I
Konferenz
International Society for Scientometrics and Informetrics (International Conference) 2011
DOI
10.24406/publica-fhg-371629
File(s)
001.pdf (70.71 KB)
Language
English
google-scholar
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT
Tags
  • NUCA

  • NCA

  • number of cited autho...

  • excellence indicator

  • self-citation

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022