Proposal of an improved aggregate impact factor. Its application to the evaluation of individual research activity.
DOI:
https://doi.org/10.3989/redc.2003.v26.i4.142Keywords:
impact factor, median, Weibull model, censored dataAbstract
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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2003 Consejo Superior de Investigaciones Científicas (CSIC)

This work is licensed under a Creative Commons Attribution 4.0 International License.
© CSIC. Manuscripts published in both the print and online versions of this journal are the property of the Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
All contents of this electronic edition, except where otherwise noted, are distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You may read the basic information and the legal text of the licence. The indication of the CC BY 4.0 licence must be expressly stated in this way when necessary.
Self-archiving in repositories, personal webpages or similar, of any version other than the final version of the work produced by the publisher, is not allowed.