Journal of Statistical Software

Aims & Scope

The Journal of Statistical Software (JSS) is an open-source and open-access scientific journal by the statistical software community for everybody interested in statistical computing. All aspects of the journal, from editorial work over review and copy-editing up to typesetting and publication, are run by a group of volunteers committed to free software (as in software that respects the users' essential freedoms: the freedom to run it, to study and change it, and to redistribute copies with or without changes) and free-subscription, free-submission open-access publishing ideas. We aim to present research that demonstrates the joint evolution of computational and statistical methods and facilitates their application in practice. Implementations can use languages and environments like R, Python, Julia, MATLAB, SAS, Stata, C, C++, Fortran, among others. Articles describing a novel software contribution must cover implementations with a similar scope (including those in other languages and for other statistical software environments), and discuss the advantages and disadvantages of the new contribution compared to existing implementations, when possible and also applicable using empirical illustrations. Extensive simulation studies are discouraged.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification