Original Research Article
A complete original study with methods, evidence, limitations, and discipline-appropriate conclusions.
Specialty journal
Mathematics and Statistics
Original theoretical, methodological, computational, and rigorously modelled work in mathematics and statistics.
The journal publishes work whose principal contribution is mathematical or statistical, from theory and proof to methodology, computation, and rigorous modelling.
Intended readership: Mathematicians, statisticians, probability researchers, quantitative methodologists, and rigorous modellers.
Mathematics coverage includes algebra, analysis, geometry, topology, number theory, combinatorics, discrete mathematics, differential equations, dynamical systems, optimization, numerical analysis, modelling, applied mathematics, and mathematically centered physics.
Statistics coverage includes probability, theory and inference, Bayesian and frequentist methods, regression, multivariate methods, time series, stochastic processes, experimental design, sampling, computational statistics, statistical learning, and uncertainty quantification.
Application papers must contribute new mathematical or statistical understanding, methodology, analysis, or theory; routine use of standard techniques is insufficient.
Use these areas to judge whether the manuscript’s central contribution belongs in this journal.
Methods should suit the research question. These common approaches are illustrative, not artificial requirements.
Editors assess each manuscript as a whole. The following are generally outside scope unless a clear substantive contribution is established:
Availability is confirmed during submission and may vary. No universal length or item limits are implied.
A complete original study with methods, evidence, limitations, and discipline-appropriate conclusions.
A critical, structured synthesis that advances understanding of a defined topic.
A focused original contribution whose significance can be established concisely.
A validated method, workflow, instrument, computational approach, or analytical advance.
Evidence-informed analysis of a significant development or direction; unsupported opinion is unsuitable.
Newly published articles will appear here.
The current issue will appear here after publication.
Past volumes and issues will appear here as the archive grows.
Editorial information will be displayed as appointments are formally confirmed. Editors act independently on scope, peer review, integrity, and decisions; APC payment is separate from scholarly evaluation.
This journal follows ANVA Journals’ single-blind peer-review, Gold Open Access, ethics, and scholarly-record policies unless an explicit journal-specific requirement is displayed.