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An important recent development in research on citation impact is the discovery of universality, or citation impact patterns that hold across different disciplines in the sciences, social sciences, and humanities.
Citation pollution: the infiltration of retracted research, or fake research, being cited in legitimate research, but negatively impacting on the validity of the research. [52] It is due to various factors, including the publication race and the concerning rise in unscrupulous business practices related to so-called predatory or deceptive ...
Citation analysis is a commonly used bibliometric method based on constructing the citation graph, [1] a network or graph representation of the citations shared by documents. Many research fields use bibliometric methods to explore the impact of their field, the impact of a set of researchers, the impact of a particular paper, or to identify ...
A study suggests a citation on Wikipedia "could be considered a public parallel to scholarly citation". [29] A scientific publication being "cited in a Wikipedia article is considered an indicator of some form of impact for this publication" and it may be possible to detect certain publications through changes to Wikipedia articles. [ 30 ]
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).
In any given year, the CiteScore of a journal is the number of citations, received in that year and in previous three years, for documents published in the journal during the total period (four years), divided by the total number of published documents (articles, reviews, conference papers, book chapters, and data papers) in the journal during the same four-year period: [3]
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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]