Advanced Modeling and Simulation in Engineering Sciences

SJR Rank #7,002H-index: 29SJR: 0.792Best quartile: Q1Open AccessAPC: US$1,890Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

SpringerOpen

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Applied MathematicsQ1
  • Engineering (miscellaneous)Q1
  • Modeling and SimulationQ1
  • Computer Science ApplicationsQ2

Areas: Computer Science · Engineering · Mathematics

Most published research topics

Model Reduction and Neural NetworksNumerical methods in engineeringAdvanced Numerical Methods in Computational MathematicsProbabilistic and Robust Engineering DesignComposite Material MechanicsElasticity and Material ModelingNumerical methods for differential equationsAdvanced Multi-Objective Optimization AlgorithmsLattice Boltzmann Simulation StudiesComposite Structure Analysis and Optimization

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs020406080

Documents per Year

2022202509182736

Detailed Information

ISSN

2213-7467

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.36

References per Document

49.11

Coverage

2014-2026

Scope

The research topics addressed by Advanced Modeling and Simulation in Engineering Sciences (AMSES) cover the vast domain of the advanced modeling and simulation of materials, processes and structures governed by the laws of mechanics. The emphasis is on advanced and innovative modeling approaches and numerical strategies. The main objective is to describe the actual physics of large mechanical systems with complicated geometries as accurately as possible using complex, highly nonlinear and coupled multiphysics and multiscale models, and then to carry out simulations with these complex models as rapidly as possible. In other words, this research revolves around efficient numerical modeling along with model verification and validation. Therefore, the corresponding papers deal with advanced modeling and simulation, efficient optimization, inverse analysis, data-driven computation and simulation-based control. These challenging issues require multidisciplinary efforts – particularly in modeling, numerical analysis and computer science – which are treated in this journal.

Metrics from SCImago Journal Rank 2025. View on SCImago