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Before 2020, the score was calculated differently: in a given year, the CiteScore of a journal was the number of citations received in that year of articles published in that journal during the three preceding years, divided by the total number of "citable items" published in that journal during the three preceding years: [3]
In general, the parameters that are taken into account and eventually determine the new composite-index (c-score) are the following ones: the total number of citations received (NC), the Hirsch index for the citations received (H), the Schreiber co-authorship adjusted Hm index for the citations received (Hm).
Total citations, or average citation count per article, can be reported for an individual author or researcher. Many other measures have been proposed, beyond simple citation counts, to better quantify an individual scholar's citation impact. [15] The best-known author-level measures include total citations and the h-index. [16]
The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science.
The h-index is an author-level metric that measures both the productivity and citation impact of the publications, initially used for an individual scientist or scholar. The h-index correlates with success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities. [1]
Adopting this view, the SJR indicator assigns different values to citations depending on the perceived prestige of the journals where they come from. However, studies of methodological quality and reliability have found that "reliability of published research works in several fields may be decreasing with increasing journal rank", [ 1 ...
Author-level metrics are citation metrics that measure the bibliometric impact of individual authors, researchers, academics, and scholars. Many metrics have been developed that take into account varying numbers of factors (from only considering the total number of citations, to looking at their distribution across papers or journals using statistical or graph-theoretic principles).
The g-index is an author-level metric suggested in 2006 by Leo Egghe. [1] The index is calculated based on the distribution of citations received by a given researcher's publications, such that given a set of articles ranked in decreasing order of the number of citations that they received, the g-index is the unique largest number such that the top g articles received together at least g 2 ...
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