An algorithm for drawing general undirected graphs
Information Processing Letters
Algorithmic procedure for finding semantically related journals
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Classification and powerlaws: The logarithmic transformation: Research Articles
Journal of the American Society for Information Science and Technology
Caveats for the use of citation indicators in research and journal evaluations
Journal of the American Society for Information Science and Technology
Modifying the journal impact factor by fractional citation weighting: The audience factor
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Differences in impact factor across fields and over time
Journal of the American Society for Information Science and Technology
How are new citation-based journal indicators adding to the bibliometric toolbox?
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Multilevel and Longitudinal Modeling Using Stata, Second Edition
Multilevel and Longitudinal Modeling Using Stata, Second Edition
Garfield and the impact factor
Annual Review of Information Science and Technology
Modes of collaboration in modern science: Beyond power laws and preferential attachment
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
The relation between Eigenfactor, audience factor, and influence weight
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
Scopus' SNIP indicator: Reply to Moed
Journal of the American Society for Information Science and Technology
A rejoinder on energy versus impact indicators
Scientometrics
Citation characterization and impact normalization in bioinformatics journals
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
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The Impact Factors (IFs) of the Institute for Scientific Information suffer from a number of drawbacks, among them the statistics—Why should one use the mean and not the median?—and the incomparability among fields of science because of systematic differences in citation behavior among fields. Can these drawbacks be counteracted by fractionally counting citation weights instead of using whole numbers in the numerators? (a) Fractional citation counts are normalized in terms of the citing sources and thus would take into account differences in citation behavior among fields of science. (b) Differences in the resulting distributions can be tested statistically for their significance at different levels of aggregation. (c) Fractional counting can be generalized to any document set including journals or groups of journals, and thus the significance of differences among both small and large sets can be tested. A list of fractionally counted IFs for 2008 is available online at The between-group variance among the 13 fields of science identified in the U.S. Science and Engineering Indicators is no longer statistically significant after this normalization. Although citation behavior differs largely between disciplines, the reflection of these differences in fractionally counted citation distributions can not be used as a reliable instrument for the classification. © 2011 Wiley Periodicals, Inc.