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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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 Biblioqrafik təsvir
 Alguliyev , R.M. Modifications to the journal impact factor / R.M. Alguliyev , R.M. Aliguliyev // COLLNET Journal of Scientometrics and Information Management. - 2017. - N: vol. 11(1). - P. 25-43.
 Annotasiya
 New versions of journal impact factor are proposed for comparing them with JCR IF. They focus on the journal self-citation and the number of citing sources. The proposed versions are grouped into: 1) IFs penal- ized by self-citations, 2) IF encouraged by the number of citing sources and 3) IFs combining the penalized IFs and encouraged IF. This study evaluates the impact of journal self-citations and distribution of cita- tions among sources on JCR IF. The study indicates that self-citations have little impact on the values of IF and the IF rankings, whether or not journal self-citations are included. The proposed indicators have been evaluated for the 30 journals in Computer Science field indexed in JCR 2013. The Spearman’s r correlation between the JCR IF and IFs pe- nalized by self-citations is in the range of 0.76-0.96 and the Kendall’s t correlation is in the range of 0.57-0.86. The study also indicates that com- pared to the IFs penalized by self-citations, the IF encouraged (EIF) by the number of citing sources correlated moderate with the JCR IF, the Spearman’s r correlation is 0.73 and the Kendall’s t correlation is 0.59. Experiment results showed that the JCR IF moderately correlated with the combined IFs, Spearman’s r correlation is in the range of 0.69-0.72 and Kendall’s t correlation is in the range of 0.55-0.58. We also showed that penalization strategy of self-citation can influence on the result. For example, IF linearly penalized (LPIF) by self-citations highly correlated with the JCR IF (Spearman’s r correlation is 0.99 and Kendall’s t cor- relation is 0.93), and IF non-linearly penalized (nLPIF) by self-citations moderately correlated with the JCR IF (Spearman’s r correlation is 0.76 and Kendall’s t correlation is 0.57). Finally, we concluded that IFs with and without penalization of self-citations lowly correlated with the number of articles and the number of citing sources.
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