Pudovkin AI, Garfield EG. "Rank-normalized impact factor: A way to compare journal performance across subject categories" ASIST 2004: Proceedings of the 67th ASIS&T Annual Meeting, Vol:41, 2004 41. 2004. p.507-515. Information Today Inc. Medford.

[Eugene Garfield]

Alexander I. Pudovkin : aipud at imb.dvo.ru
Eugene Garfield : garfield at codex.cis.upenn.edu
                  or Eugene.garfield at thomson.com

FULL TEXT OF THIS ARTICLE AVAILABLE :
PUBLISHED PAPER :
http://
garfield.library.upenn.edu/papers/ranknormalizationasist2004published.pdf

PRESENTATION:
http://garfield.library.upenn.edu/papers/asistranknormalization2004.pdf


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TITLE : Rank-normalized impact factor:  A way to compare journal performance
across subject categories

AUTHOR: Pudovkin AI, Garfield E.

SOURCE: ASIST 2004: Proceedings of the 67th ASIS&T Annual Meeting, Vol:41,
2004 41. 2004. p.507-515. Information Today Inc. Medford.

ABSTRACT:
It is well known that uniformed science administrators often use ISI's
journal impact factor without taking into account the inherent citation
characteristics of individual scientific disciplines.

A rank normalized impact factor (rnIf) is proposed which involves use of
order statistics for the complete set of journals within each JCR category.
 We believe the normalization procedure provides reliable and easily
interpretable values.  For any journal j, its rnIF is designated as rnIF1
and equals (K – r1 + 1)/K1 where R1 is the descending rank of journal j in
its JCR category and K is the number of journals in the category.  Note: JCR
Impact Factor listings are published in descending order.  The proposed rnIF
is compared with normalized Impact Factors proposed by earlier authors.  The
efficacy of the rnIF is illustrated in the cases of seven highly-cited
scientists, one each from seven different fields.

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