Stochastic Models

Aims & Scope

Stochastic Models publishes papers discussing the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences, social sciences and technology.

It presents novel contributions to mathematical theory, using structural, analytical, algorithmic or experimental approaches.

In an interdisciplinary context, it discusses practical applications of stochastic models to diverse areas such as biology, computer science, telecommunications modeling, inventories and dams, reliability, storage, queueing theory, mathematical finance and operations research.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.386

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	40

Impact Factor

Year	Value
2024	0.50

Journal Rank

Year	Value
2024	14156

Journal Citation Indicator

Year	Value
2024	83

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Risk Measures and Comonotonicity: A Review

  Citation: 255

  Authors: J., S., M. J., R., Q., D.

• Representations of the First Hitting Time Density of an Ornstein-Uhlenbeck Process¹

  Citation: 162

  Authors: L., P., J. L.

• Matching Three Moments with Minimal Acyclic Phase Type Distributions

  Citation: 121

  Authors: A., A., M.

• Sums of Pairwise Quasi-Asymptotically Independent Random Variables with Consistent Variation

  Citation: 109

  Authors: Yiqing, Kam C.

• From Individual Stochastic Processes to Macroscopic Models in Adaptive Evolution

  Citation: 92

  Authors: Nicolas, Régis, Sylvie

• The Effect of New Links on Google Pagerank

  Citation: 76

  Authors: Konstantin, Nelly

• Tail Probabilities of Randomly Weighted Sums of Random Variables with Dominated Variation

  Citation: 75

  Authors: Dingcheng, Qihe

• Transient Analysis of Fluid Flow Models via Stochastic Coupling to a Queue

  Citation: 71

  Authors: Soohan, V.

• Fluid Flow Models and Queues—A Connection by Stochastic Coupling

  Citation: 71

  Authors: Soohan, V.

• Large Deviations of Poisson Cluster Processes

  Citation: 69

  Authors: Charles, Giovanni Luca

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