Aims and Scope of Stochastics and Dynamics
Stochastics and Dynamics (SD) is an interdisciplinary journal published by World Scientific. It was founded in 2001 and covers "modeling, analyzing, quantifying and predicting stochastic phenomena in science and engineering from a dynamical system's point of view". Articles and papers in the journal describe theory, experiments, algorithms, numerical simulation and applications of stochastic phenomena, with a particular focus on random or stochastic ordinary, partial or functional differential equations and random mappings. Less
Key Metrics
CiteScore 

1.6
Impact Factor 

< 5
SJR 

Q3Modeling and Simulation

SNIP 

1.2
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Topics Covered on Stochastics and Dynamics
Stochastics and Dynamics Journal Specifications
| Overview | |
| Publisher | WORLD SCIENTIFIC PUBL CO PTE LTD |
| Language | English |
| Frequency | Bi-monthly |
| General Details | |
| Language | English |
| Frequency | Bi-monthly |
| Publication Start Year | 2001 |
| Publisher URL | Visit website |
| Website URL | Visit website |
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Recently Published Papers in Stochastics and Dynamics
Poisson stability of solutions for stochastic evolution equations driven by fractional Brownian motion
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Conditional McKean–Vlasov differential equations with common poissonian noise: Propagation of chaos
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On Random Batch Methods (RBM) for interacting particle systems driven by Levy processes
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Existence of Absolutely Continuous Invariant Measures for Piecewise Expanding C1+𝜀 Maps
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Probability of transition to turbulence in a reduced stochastic model of pipe flow
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Continuity of weak pullback mean random attractors for non-autonomous stochastic wave equations
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Poisson stability of solutions for stochastic evolution equations driven by fractional Brownian motion
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Conditional McKean–Vlasov differential equations with common poissonian noise: Propagation of chaos
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On Random Batch Methods (RBM) for interacting particle systems driven by Levy processes
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Existence of Absolutely Continuous Invariant Measures for Piecewise Expanding C1+𝜀 Maps
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Probability of transition to turbulence in a reduced stochastic model of pipe flow
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Continuity of weak pullback mean random attractors for non-autonomous stochastic wave equations
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