Journal of Statistical Theory and Applications
|Year||CiteScore||# Citations||# Articles||CiteScore Percentile||Scopus Category||Scopus Category Ranking|
|2020||0.14||7||51||3%||Computer Science Applications||671 / 693|
The CiteScore measures the average number of citations received per article published in a journal. CiteScore values for a particular year are based on a journal's citation count received in that year + the three previous calendar years to articles published in the journal during this four-year period, divided by the total number of articles published in the journal during this four-year period. For example, the 2019 CiteScore for a journal is calculated as follows:
- A = citations received in 2016-2019 to articles published in the journal in 2016-2019 (note that citations to "Articles in Press" are not included in this count)
- B = sum of the number of articles published in the journal in 2016-2019 (note that "Articles in Press" are not included in this count)
- 2019 CiteScore = A/B
Note that the CiteScore is calculated using data from the Scopus database. A CiteScore is available for most active serial titles on Scopus, including peer-reviewed journals, book series, conference proceedings and trade journals.
The CiteScore Percentile indicates the relative standing of a journal within its subject field. A journal which has a CiteScore Percentile of 85% in a particular category is ranked according to CiteScore as higher than 85% of the journals within that category. A journal will receive a CiteScore Percentile for every subject category in which it is indexed in Scopus. Note that if a journal is categorized into multiple Scopus categories, then only the highest percentile category for the journal will be shown in the graph and table above.