Journal impact measures in bibliometric research View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-02

AUTHORS

Wolfgang Glänzel, Henk F. Moed

ABSTRACT

The Impact Factor introduced by Eugene Garfield is a fundamental citation-based measure for significance and performance of scientific journals. It is perhaps the most popular bibliometric product used in bibliometrics itself, as well as outside the scientific community. First, a concise review of the background and history of the ISI impact factor and the basic ideas underlying it are given. A cross-citation matrix is used to visualise the construction of the Impact Factor and several related journal citation measures.Both strengths and flaws of the impact factor are discussed. Several attempts made by different authors to introduce more sophisticated journal citation measures and the reasons why many indicators aiming at a correction of methodological limitations of the Impact Factor were not successful are described. The next section is devoted to the analysis of basic technical and methodological aspects. In this context, the most important sources of possible biases and distortions for calculation and use of journal citation measures are studied. Thereafter, main characteristics of application contexts are summarised. The last section is concerned with questions of statistical reliability of journal citation measures. It is shown that in contrast to a common misbelief statistical methods can be applied to discrete "skewed" distributions, and that the statistical reliability of these statistics can be used as a basis for application of journal impact measures in comparative analyses. Finally, the question of sufficiency or insufficiency of a single, howsoever complex measure for characterising the citation impact of scientific journals is discussed. More... »

PAGES

171-193

References to SciGraph publications

Journal

TITLE

Scientometrics

ISSUE

2

VOLUME

53

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1014848323806

DOI

http://dx.doi.org/10.1023/a:1014848323806

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051712715


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