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.
Choose the area that best describes the manuscript’s main scholarly contribution, then review the linked section scope. A topic match is a starting point; authors should also check the complete aims and scope.
This section covers pure mathematics within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers applied mathematics within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers statistics within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers probability within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers optimization within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers numerical analysis within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers scientific computing within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers operations research within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers mathematical modelling within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →This section covers computational methods within mathematics, statistics and computational science. It welcomes foundational questions, methodological contributions and well-supported applications that make a clear scholarly contribution. Authors should identify the problem, explain why the chosen approach is suitable, and report the sources, methods, assumptions or evidence needed for readers to assess the work.
Read this area’s section scope →