Probabilistic Engineering Mechanics

Aims & Scope

This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering.

The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.5
2024	3.00

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	94

Journal Rank

Year	Value
2024	5080

Journal Citation Indicator

Year	Value
2024	1090

SJR (SCImago Journal Rank)

Year	Value
2024	0.970

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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 Energy, Engineering and Physics and Astronomy, 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.

• Estimation of small failure probabilities in high dimensions by subset simulation

  Citation: 1915

  Authors: Siu-Kui, James L.

• Multivariate distribution models with prescribed marginals and covariances

  Citation: 780

  Authors: Pei-Ling, Armen

• An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis

  Citation: 691

  Authors: Géraud, Bruno

• Optimal design of a novel tuned mass-damper–inerter (TMDI) passive vibration control configuration for stochastically support-excited structural systems

  Citation: 675

  Authors: Laurentiu, Agathoklis

• Wind field simulation

  Citation: 539

  Authors: Jakob

• Material spatial randomness: From statistical to representative volume element

  Citation: 482

  Authors: Martin

• A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics

  Citation: 476

  Authors: S., H.

• The stochastic finite element method in structural reliability

  Citation: 462

  Authors: Armen, Jyh-Bin

• Metamodel-based importance sampling for structural reliability analysis

  Citation: 452

  Authors: V., B., F.

• Non-stationary stochastic vector processes: seismic ground motion applications

  Citation: 405

  Authors: George

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