|Year||CiteScore||# Citations||# Articles||CiteScore Percentile||Scopus Category||Scopus Category Ranking|
|2019||3.59||1371||382||77%||Computational Mathematics||33 / 146|
|2018||4.51||1587||352||89%||Computational Mathematics||17 / 150|
|2017||3.19||1139||357||78%||Computational Mathematics||30 / 137|
|2016||2.21||832||377||68%||General Computer Science||62 / 197|
|2015||1.56||564||362||57%||General Computer Science||86 / 202|
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:
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.