Stochastics and Partial Differential Equations: Analysis and Computations

SJR Rank #2,221H-index: 24SJR: 1.577Best quartile: Q1APC: US$3,190
Journal website: aims, scope and author guidelines
Publisher

Springer New York

Country

United States

Type

journal

SJR by Edition

2022202500.450.91.351.8

Subject Categories

  • Applied MathematicsQ1
  • Modeling and SimulationQ1
  • Statistics and ProbabilityQ1

Areas: Mathematics

Most published research topics

Stochastic processes and financial applicationsAdvanced Mathematical Modeling in EngineeringStochastic processes and statistical mechanicsStability and Controllability of Differential EquationsAdvanced Mathematical Physics ProblemsNavier-Stokes equation solutionsNonlinear Partial Differential EquationsFluid Dynamics and Turbulent FlowsFinancial Risk and Volatility ModelingNumerical methods in inverse problems

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs03570105140

Documents per Year

20222025020406080

Detailed Information

ISSN

2194-041X, 2194-0401

SJR Best Quartile

Q1

Region

Northern America

Citations per Document (2 years)

2.07

References per Document

39.31

Coverage

2013-2026

Scope

Stochastics and Partial Differential Equations: Analysis and Computations publishes the highest quality articles presenting significantly new and important developments in the SPDE theory and applications. SPDE is an active interdisciplinary area at the crossroads of stochastic anaylsis, partial differential equations and scientific computing. Statistical physics, fluid dynamics, financial modeling, nonlinear filtering, super-processes, continuum physics and, recently, uncertainty quantification are important contributors to and major users of the theory and practice of SPDEs. The journal is promoting synergetic activities between the SPDE theory, applications, and related large scale computations. The journal also welcomes high quality articles in fields strongly connected to SPDE such as stochastic differential equations in infinite-dimensional state spaces or probabilistic approaches to solving deterministic PDEs.

Metrics from SCImago Journal Rank 2025. View on SCImago