Rank normalization of impact factors will resolve Vanclay’s dilemma with TRIF
ScientometricsPublished 8 February 2012
A. I. Pudovkin, Eugene Garfield
Citations18
SJR quartileQ1
SJR score1.15
SNIP1.82
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Abstract
Abstract The ThomsonReuters impact factor is a viable, widely used and informative measure of journal visibility and frequency of use. It is accurate, transparent and easy to use. It is a live and evolving system, that can broaden its scope and implement new features and methods. Some of Vanclay’s suggestions, like wider use of order statistics, or our suggestion of rank normalization might be implemented by JCR in the future.
Keywords
Decision Sciences
ScientometricsImpact factor: outdated artefact or stepping-stone to journal certification?
374 Citations2011Jerome K. Vanclay
There are indications that the scientific community seeks and needs better certification of journal procedures to improve the quality of published science and comprehensive certified editorial and review procedures could help ensure adequate procedures to detect duplicate and fraudulent submissions.
Proceedings of the American Society for Information Science and TechnologyRank‐normalized impact factor: A way to compare journal performance across subject categories
123 Citations2004A. I. Pudovkin, Eugene Garfield
A rank normalized impact factor (rnlF) is proposed which involves use of order statistics for the complete set of journals within each JCR category and it is believed the normalization procedure provides reliable and easily interpretable values.