Probability Theory and Related Fields

Aims & Scope

Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application.

Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry.

Survey papers on emerging areas of importance may be considered for publication.

The main languages of publication are English, French and German.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.50

SJR (SCImago Journal Rank)

Year	Value
2024	2.631

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	94

Journal Rank

Year	Value
2024	889

Journal Citation Indicator

Year	Value
2024	507

---

---

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

---

Subjects & Keywords

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

---

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.

• Attractors for random dynamical systems

  Citation: 748

  Authors: Hans, Franco

• On the rate of convergence in Wasserstein distance of the empirical measure

  Citation: 585

  Authors: Nicolas, Arnaud

• Solving forward-backward stochastic differential equations explicitly — a four step scheme

  Citation: 511

  Authors: Jin, Philip, Jiongmin

• Martingale and stationary solutions for stochastic Navier-Stokes equations

  Citation: 442

  Authors: Franco, Dariusz

• Integration with respect to fractal functions and stochastic calculus. I

  Citation: 415

  Authors: M.

• Risk bounds for model selection via penalization

  Citation: 388

  Authors: Andrew, Lucien, Pascal

• Brownian motion on the Sierpinski gasket

  Citation: 369

  Authors: Martin T., Edwin A.

• Stochastic calculus with anticipating integrands

  Citation: 346

  Authors: D., E.

• Spectral representations of infinitely divisible processes

  Citation: 332

  Authors: Balram S., Jan

• Exchangeable and partially exchangeable random partitions

  Citation: 330

  Authors: Jim

---