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Journal Photo for Journal of Statistical Software
Peer reviewed only Open Access

Journal of Statistical Software (JSS)

Publisher : University of California at Los Angeles
Statistics Statistical Computing Statistical Software
e-ISSN 1548-7660
Issue Frequency Continuously
Est. Year 1996
Mobile 13108258431
Language English
APC YES
Email info@jstatsoft.org

Journal Descriptions

The Journal of Statistical Software (JSS) is a highly respected international, peer-reviewed, open-access journal dedicated to statistical computing and software development. The journal publishes original articles that describe statistical software, algorithms, computational methods, and reproducible research tools used in statistics and data science. A major focus of the journal is on software written for the R programming language, although contributions involving Python, Julia, MATLAB, and other statistical platforms are also included. Established in 1996, the journal was founded to support open scientific computing and reproducible research practices. JSS publishes software articles together with source code, documentation, and replication materials, allowing researchers to reproduce analyses and extend computational methods. The journal is widely recognized in statistics, machine learning, econometrics, and computational science communities. The journal is published by the Foundation for Open Access Statistics (FOAS) and follows a diamond open-access model, meaning there are no subscription fees or article processing charges (APCs). It is indexed in major databases including Scopus, Web of Science, and Current Index to Statistics. JSS is considered a Q1 journal in statistics and statistical software fields and has earned a strong reputation for publishing influential software methodologies and computational tools.

Journal of Statistical Software (JSS) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Statistics, Statistical Computing, Statistical Software, Data Science, Computational Statistics, Machine Learning Methods, Reproducible Research., Algorithms and Numerical Methods, R Programming and Scientific Computing, documentation, and replication materials, allowing researchers to reproduce analyses and extend computational methods, The journal is widely recognized in statistics, machine learning, econometrics, computational science communities , Online , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1548-7660, Established: 1996,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE