Proposal of an improved aggregate impact factor. Its application to the evaluation of individual research activity.

Authors

  • Francisco Javier Ortega Irizo Departamento de Economía Aplicada I. Universidad de Sevilla. Facultad de Ciencias Económicas y Empresariales

DOI:

https://doi.org/10.3989/redc.2003.v26.i4.142

Keywords:

impact factor, median, Weibull model, censored data

Abstract


The advisory committee of the area of Economic and Management Sciences of the CNEAI values the journals that appear in the JCR on the basis of an aggregate index of impact that multiplies the Impact Factor by the Cited Half Life or Median of the citation age data of each journal. In the database JCR the cites older than 10 years are aggregated, therefore when these cites constitute more than 50% of the total we cannot calculate the median. The committee takes in these cases 9.9 as value for the median. We propose to obtain an estimation of it fitting previously a Weibull model in the presence of censored data. As a consequence, it is possible to value the journals with a very slow ageing more precisely.

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Published

2003-12-30

How to Cite

Ortega Irizo, F. J. (2003). Proposal of an improved aggregate impact factor. Its application to the evaluation of individual research activity. Revista Española De Documentación Científica, 26(4), 403–417. https://doi.org/10.3989/redc.2003.v26.i4.142

Issue

Section

Studies