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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]
the Hirsch index for the citations received (H), the Schreiber co-authorship adjusted Hm index for the citations received (Hm). the total number of citations received to papers for which the scientist is single author (NCS), the total number of citations received to papers for which the scientist is single or first author (NCSF), and
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 papers introducing the ranking have been quoted extensively by authors working in Bibliometrics and Scientometrics.For example, reference [3] describing an update to the methodology of this index number is cited [12] from authors publishing in journals such as SAGE's Research on Social Work Practice, [10] Elsevier's Perspectives in Ecology and Conservation, [13] Springer's Forensic Science ...
In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators. [1] [2] Indices – also known as indexes and composite indicators – summarize and rank specific observations. [2]
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