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Computer Methods in Applied Mechanics and Engineering - Elsevier | 2024 Impact Factor:7.3 | Cite Score:11.6 | Q1

Computer Methods in Applied Mechanics and Engineering Journal

Impact Factor and Journal Rank of Computer Methods in Applied Mechanics and Engineering

  • About: Computer Methods in Applied Mechanics and Engineering is a peer-reviewed journal published by Elsevier. It focuses on the development and application of computational methods in mechanics and engineering. The journal provides a platform for researchers, engineers, and practitioners to share their latest findings and innovations in computational mechanics and engineering.
  • Objective: The primary objective of Computer Methods in Applied Mechanics and Engineering is to promote the dissemination of cutting-edge research and ideas in computational mechanics and engineering. The journal aims to advance the understanding and application of computational methods for solving complex engineering problems. By publishing high-quality research, the journal contributes to the development of innovative computational techniques and their integration into engineering practice.
  • Interdisciplinary Focus: Computer Methods in Applied Mechanics and Engineering adopts an interdisciplinary approach, welcoming contributions from various fields related to mechanics and engineering, including but not limited to, Computational Mechanics, Finite Element Analysis, Computational Fluid Dynamics, Structural Analysis, Multiphysics Simulation, Materials Science, Biomechanics, Numerical Methods, Optimization and Robotics. This interdisciplinary perspective fosters collaboration and innovation across different domains of engineering and computational science, leading to the development of novel computational tools and methodologies.
  • Global Reach and Impact: The journal has a broad international readership and authorship, reflecting its global reach and impact. By publishing research from around the world, Computer Methods in Applied Mechanics and Engineering contributes to the dissemination of knowledge and advancements in computational mechanics and engineering. The journal content influences both academic research and practical applications, driving progress and innovation in engineering disciplines globally.
  • High Standards and Rigorous Review: Computer Methods in Applied Mechanics and Engineering maintains high academic standards through a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the relevant fields to ensure the quality, originality, and scientific significance of the research. This rigorous review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: The significance of Computer Methods in Applied Mechanics and Engineering lies in its role as a leading publication in the field of computational mechanics and engineering. The journal contributions help advance the state-of-the-art in computational methods and their application to engineering problems. By disseminating innovative research, the journal facilitates collaboration and knowledge exchange among researchers, engineers, and practitioners, driving progress and innovation in engineering practice and education.

  • Editor-in-Chief:  Laura De Lorenzis

  • Scope: The Computer Methods in Applied Mechanics and Engineering journal, published by Elsevier, is a prestigious peer-reviewed journal that focuses on computational methods and their applications in various branches of engineering and science. Here is an overview of its key focus areas and scope:
  • 1. Finite Element Methods (FEM):
    Research on the theory, implementation, and applications of finite element methods for solving partial differential equations and engineering problems.
    Development of novel finite element formulations, adaptive methods, and error estimation techniques.
  • 2. Computational Solid Mechanics:
    Topics covering the numerical analysis of solid materials and structures, including elasticity, plasticity, fracture mechanics, and contact mechanics.
    Research on large deformation analysis, nonlinear material modeling, and multiphysics simulations.
  • 3. Computational Fluid Dynamics (CFD):
    Advancements in computational methods for analyzing fluid flow phenomena, including Navier-Stokes equations, turbulence modeling, and multiphase flows.
    Research on mesh generation, boundary conditions, and turbulence modeling techniques.
  • 4. Multiscale and Multiphysics Modeling:
    Studies on multiscale modeling techniques for bridging different length and time scales in engineering and materials science.
    Research on multiphysics simulations involving coupled physical processes such as fluid-structure interaction, thermal-fluid coupling, and electromagnetic-thermal coupling.
  • 5. Computational Mechanics of Materials:
    Topics covering the computational modeling and simulation of material behavior, including deformation, damage, and failure mechanisms.
    Research on constitutive modeling, fracture mechanics, fatigue analysis, and material optimization.
  • 6. Meshless and Particle Methods:
    Advancements in meshless and particle-based methods for solving partial differential equations and simulating complex engineering problems.
    Research on smoothed particle hydrodynamics (SPH), meshfree methods, and moving least squares (MLS) techniques.
  • 7. Structural Optimization and Topology Optimization:
    Research on optimization techniques for structural design, topology optimization, and shape optimization.
    Topics covering gradient-based optimization methods, evolutionary algorithms, and sensitivity analysis techniques.
  • 8. Computational Biomechanics:
    Advancements in computational methods for analyzing the mechanical behavior of biological systems and biomedical devices.
    Research on musculoskeletal modeling, soft tissue mechanics, and medical image-based simulations.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  00457825

    Electronic ISSN:  03742830

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus

  • Imapct Factor 2024:  7.3

  • Subject Area and Category:  Computer Science,Computer Science Applications,Engineering,Computational Mechanics,Mechanical Engineering,Mechanics of Materials,Physics and Astronomy,Physics and Astronomy (miscellaneous)

  • Publication Frequency:  

  • H Index:  246

  • Best Quartile:

    Q1:  Computational Mechanics

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  12.8

  • SNIP:  2.306

  • Journal Rank(SJR):  2.412