Journal of Applied Mathematics and Statistical Applications

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Artificial-Intelligence-impact-factor

 

Nowadays, many funding agencies and promotion committees use bibliometric indices to evaluate the impact of a researcher's work.

Bibliometric indices are used as a tool for journal evaluation. The first bibliometric index to be calculated for journal assessment was the impact factor. More recently, Braun et al. suggested that the well-known h-index could be usefully applied to evaluate the scientific impact of journals.

In view of the vast number of bibliometric indices, it is necessary to analyze how they relate to each other. We know that the degree of correlation among journal citation indices has been investigated in the past.

 

Over the last few years, some studies have examined correlations between a list of journal citation indices using the Pearson ρ coefficient. Davis found a statistically significant correlation between the number of citations and eigenfactor. Bollen et al. also found statistically significant correlations between 39 measures of scholarly impact, although the exact values were not reported.

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