This journal publishes research on numerical methods for solving differential equations, including ordinary and partial differential equations. Topics include the development and analysis of solvers for fluid dynamics problems, such as Stokes and Euler equations, and hyperbolic partial differential equations. The journal also covers methods for particle dynamics, adaptive mesh refinement, and function approximation techniques like Gaussian process regression.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2018
2019
2020
2021
2022
2023
2024
2025
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
Computational Theory and MathematicsQ2
Computer Science ApplicationsQ2
Subject Classification
Web of Science Categories
Mathematics, AppliedPhysics, Mathematical
Scopus Categories
Applied MathematicsComputer Science ApplicationsComputational Theory and Mathematics
Research Topics (OpenAlex)
Computational Fluid Dynamics and AerodynamicsAdvanced Numerical Methods in Computational MathematicsNumerical methods for differential equationsFluid Dynamics and Turbulent FlowsElectromagnetic Simulation and Numerical MethodsLattice Boltzmann Simulation StudiesGas Dynamics and Kinetic TheoryModel Reduction and Neural NetworksMatrix Theory and AlgorithmsMeteorological Phenomena and Simulations