Publishes pure and applied mathematics, statistics, computational methods and mathematical modelling. Contributions may introduce theory, analysis or algorithms; proofs, assumptions, numerical procedures and validation should be presented at a level that enables critical assessment.
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.
Read the journal overview →Section scopes describe the topics covered and the contribution expected from submissions.
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.
View 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.
View 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.
View 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.
View 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.
View 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.
View section scope →The journal considers the following types when the manuscript is appropriate to the section and meets the relevant methodological, reporting and ethics requirements.
