The journal publishes research on the numerical analysis and computational methods for solving complex mathematical problems. Topics include the development and analysis of algorithms for partial differential equations, stochastic processes, optimization, and machine learning, with applications in areas such as physics, engineering, and biology. The research often involves theoretical guarantees, error analysis, and numerical experiments to demonstrate the effectiveness of proposed methods.
AI-summarised from recent articles · verify on the publisher page
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Applied MathematicsQ2
Subject Classification
Web of Science Categories
Mathematics, Applied
Scopus Categories
Applied Mathematics
Research Topics (OpenAlex)
Advanced Numerical Methods in Computational MathematicsMatrix Theory and AlgorithmsAdvanced Optimization Algorithms ResearchNumerical methods for differential equationsNumerical methods in inverse problemsNeural Networks and ApplicationsModel Reduction and Neural NetworksAdvanced Numerical Analysis TechniquesElectromagnetic Scattering and AnalysisAdvanced Mathematical Modeling in Engineering