EJSIR Journal of Mathematics, Statistics and Computational Science
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 focus
Research topics and contribution standards
These subject areas and editorial expectations help authors judge fit and show readers how each contribution is supported.
Research and evidence
A suitable contribution makes its research question and methods clear, then supports its conclusions with evidence appropriate to the work.
Research with a clear disciplinary contribution
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 →Choose the section that fits the work
Section scopes describe the topics covered and the contribution expected from submissions.
Pure Mathematics
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 →Applied Mathematics
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 →Statistics
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 →Probability
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 →Optimization
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 →Numerical Analysis
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 →Forms of scholarly contribution
The journal considers the following types when the manuscript is appropriate to the section and meets the relevant methodological, reporting and ethics requirements.
Presents a distinct scholarly question and original findings, with methods, analysis and evidence reported in enough detail for critical assessment.
Synthesizes relevant scholarship to clarify the state of knowledge, compare interpretations and identify well-supported questions for further study.
Uses a clearly defined question and reproducible search, selection and synthesis methods, with the evidence base and limitations reported transparently.
Reports a focused result, observation or method whose concise presentation is useful to the field and supported by appropriate evidence.
Describes a practical method, instrument, workflow or technical refinement, explaining its operation, context and performance or validation.
Develops a reasoned scholarly interpretation of an important topic, distinguishing evidence from opinion and acknowledging relevant uncertainty.
Introduces a research dataset, software or other scholarly resource, documenting its provenance, structure, access conditions and quality checks.