Journal of Mathematics, Statistics and Computational Science

Journal overview

Journal of Mathematics, Statistics and Computational Science is a journal in the EJSIR Publisher programme, focused on Mathematics, Statistics and Computational Science. Its scope is organized into academic sections covering Pure Mathematics, Applied Mathematics, Statistics, Probability, Optimization, Numerical Analysis, Scientific Computing, Operations Research, Mathematical Modelling and Computational Methods. This structure helps authors assess disciplinary fit and gives readers a clear route through the journal’s subject coverage.

The journal welcomes original research article, review article, systematic review, short communication and other contributions described in its author guidance when they fit the scope. Submissions may use proof-based reasoning, mathematical modelling, statistical theory, numerical analysis, optimization, simulation or computational experiments. Authors should define notation and assumptions, establish the validity of proofs or estimators, report numerical methods and convergence or sensitivity checks where relevant, and distinguish theoretical results from empirical illustrations. Authors should engage relevant scholarship, explain the contribution and report limitations needed for critical assessment.

Editorial assessment considers journal fit, methodological or interpretive quality, research integrity and clarity. The stated review model is double-anonymous peer review, normally with at least two independent reviewers. Publisher policies on ethics, access, authorship, conflicts, data and corrections apply alongside this journal’s scope. Submission information is provided on this site; manuscripts can be submitted only after the journal’s submission route opens.

Academic remit

The journal aims to publish original work that advances mathematical understanding, statistical reasoning or computational science. Its scope includes foundational mathematics, quantitative methods and applications where mathematics is central to the contribution, rather than merely an incidental tool. The central contribution should fit at least one of the journal’s academic sections and be meaningful to readers in mathematics, statistics and computational science.

Submissions may use proof-based reasoning, mathematical modelling, statistical theory, numerical analysis, optimization, simulation or computational experiments. Authors should define notation and assumptions, establish the validity of proofs or estimators, report numerical methods and convergence or sensitivity checks where relevant, and distinguish theoretical results from empirical illustrations. Authors should define the research question, connect the approach to the question, describe sources or materials and analytical choices, and provide enough information for critical assessment. Interdisciplinary work is welcome when its relevance to the journal is clear and the methods used for each component are explained.

Interpretations and claims should follow from the reported evidence. Authors should identify uncertainty, limitations and alternative explanations where relevant, and distinguish demonstrated results from implications or future work. Studies involving people, animals, sensitive data or protected material should describe applicable ethics, consent, privacy and permissions.

Routine calculations, mathematical applications without a clear contribution to method or understanding, and computational results without justified assumptions or adequate validation fall outside scope. Manuscripts outside the listed sections or lacking an assessable scholarly contribution may be declined at editorial screening. The section descriptions below provide more detailed guidance on topic fit.