SIAM Journal on Applied Mathematics

SJR Rank #6,088H-index: 119SJR: 0.870Best quartile: Q1
Journal website: aims, scope and author guidelines
Publisher

Society for Industrial and Applied Mathematics Publications

Country

United States

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Applied MathematicsQ1

Areas: Mathematics

Most published research topics

Advanced Mathematical Modeling in EngineeringNonlinear Dynamics and Pattern FormationNumerical methods in inverse problemsMathematical and Theoretical Epidemiology and Ecology ModelsDifferential Equations and Numerical MethodsFluid Dynamics and Turbulent FlowsEvolution and Genetic DynamicsElectromagnetic Scattering and Analysisstochastic dynamics and bifurcationQuantum chaos and dynamical systems

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs085170255340

Documents per Year

202220250306090120

Detailed Information

ISSN

0036-1399, 1095-712X

SJR Best Quartile

Q1

Region

Northern America

Citations per Document (2 years)

2.02

References per Document

39.95

Coverage

1969-2026

Scope

SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.

Metrics from SCImago Journal Rank 2025. View on SCImago