Communications in Applied Mathematics and Computational Science

SJR Rank #12,872H-index: 28SJR: 0.456Best quartile: Q2
Journal website: aims, scope and author guidelines
Publisher

Mathematical Sciences Publishers

Country

United States

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Applied MathematicsQ2
  • Computational Theory and MathematicsQ2
  • Computer Science ApplicationsQ3

Areas: Computer Science · Mathematics

Most published research topics

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

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0481216

Documents per Year

20222025036912

Detailed Information

ISSN

1559-3940, 2157-5452

SJR Best Quartile

Q2

Region

Northern America

Citations per Document (2 years)

0.82

References per Document

31.67

Coverage

2006-2025

Scope

CAMCoS accepts innovative papers in all areas where mathematics and applications interact. In particular, the journal welcomes papers where an idea is followed from beginning to end — from an abstract beginning to a piece of software, or from a computational observation to a mathematical theory. CAMCoS publishes high-quality original contributions to applied mathematics and computational science, with an emphasis on work where both the mathematics and the algorithms are of interest and where the mathematical outlook is at least partially new. The fields covered include the solution of ordinary, partial and stochastic differential equations; integral equations; numerical and analytical methods for fluid dynamics, biology, quantum and statistical mechanics; multiscale and underresolved problems; computational probability and Monte-Carlo methods. The emphasis in papers should be on methods and tools rather than on the specific physical conclusions in special cases.

Metrics from SCImago Journal Rank 2025. View on SCImago