Cauchy: Jurnal Matematika Murni dan Aplikasi

Aims & Scope

Focus and ScopeCAUCHY: Jurnal Matematika Murni dan Aplikasipublishes manuscripts that demonstrate clear mathematical novelty and methodological rigor in both pure and applied mathematics. The journal prioritizes contributions that present new mathematical results, develop or analyze mathematical models with sound theoretical justification, or propose computational and algorithmic methods supported by rigorous mathematical analysis (e.g., correctness, convergence, stability, complexity, or reproducibility).The scope of the journal includes, but is not limited to, the following areas:Analysis (real analysis, functional analysis, applied analysis)Algebra and number theoryGeometry and topologyDiscrete mathematics and graph theoryOptimization and operations researchProbability and mathematical statisticsDynamical systems and controlMathematical modeling with rigorous formulation and validationComputational mathematics and scientific computingFuzzy systems and uncertainty modelingActuarial and financial mathematicsOut of ScopeCAUCHY maintains a strong mathematical emphasis. Manuscripts will be considered out of scope and may be desk-rejected if they primarily fall into one or more of the following categories:Application-only case studies or implementations that do not present a clear mathematical model, theoretical analysis, or mathematically justified methodology.Machine learning / data-driven papers that mainly report benchmark results or metric comparisons (e.g., accuracy, F1-score, AUC) without explicit mathematical novelty, analytical justification, or substantive methodological contribution.Routine use of standard techniques with minimal originality (e.g., applying commonly used models to a new dataset) and without a meaningful mathematical development, analysis, or insight.Software or system papers that focus on implementation details, engineering features, or interfaces without rigorous mathematical content (e.g., correctness proof, convergence/stability analysis,

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Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification