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A journal's SJR indicator is a numeric value representing the average number of weighted citations received during a selected year per document published in that journal during the previous three years, as indexed by Scopus. Higher SJR indicator values are meant to indicate greater journal prestige.
Journal ranking is widely used in academic circles in the evaluation of an academic journal's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it.
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]
Q1: The first quarter is during January, February and March. To be precise, this calendar quarter is from Jan. 1 through March 31. This is when the fiscal year starts unless otherwise indicated by ...
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.
Journal Citation Reports (JCR) is an annual publication by Clarivate. [1] It has been integrated with the Web of Science and is accessed from the Web of Science Core Collection . It provides information about academic journals in the natural and social sciences , including impact factors .
Articles in economics journals are usually classified according to JEL classification codes, which derive from the Journal of Economic Literature.The JEL is published quarterly by the American Economic Association (AEA) and contains survey articles and information on recently published books and dissertations.
Use the median to divide the ordered data set into two halves. The median becomes the second quartile. If there are an odd number of data points in the original ordered data set, do not include the median (the central value in the ordered list) in either half.