Computational Methods in Engineering - Impact Factor

Archives of Computational Methods in Engineering - Springer | 2024 Impact Factor:12.1 | Cite Score:27.4 | Q1

Archives of Computational Methods in Engineering Journal

Impact Factor and Journal Rank of Archives of Computational Methods in Engineering

About: Archives of Computational Methods in Engineering (ACME) is a high-impact, peer-reviewed journal that publishes advanced research and state-of-the-art review articles in the field of computational engineering. Published by Springer, the journal serves as an important resource for engineers, researchers, and academics who focus on the development and application of computational methods in engineering.
Content Types: Original research presenting new computational techniques, theoretical developments, and applications in engineering. In-depth reviews that provide comprehensive overviews of current research trends, significant advancements, and future directions in computational methods for engineering.
High Standards and Impact: The journal employs a rigorous peer-review process to ensure the publication of high-quality, accurate, and impactful research. Articles published in ACME are frequently cited, reflecting the journal significant influence and relevance in the field of computational engineering. Known for its high standards and contributions to the field, ACME is widely respected and trusted by the scientific and engineering communities.
Global Reach: The journal attracts contributions from researchers worldwide, providing a diverse and global perspective on computational methods in engineering. Ensures that research findings are accessible to a wide audience through various academic and research databases, libraries, and online platforms.
Significance: Archives of Computational Methods in Engineering is a leading journal that significantly contributes to the advancement of computational methods and their applications in engineering. Its comprehensive scope, rigorous standards, and international reach make it an invaluable resource for researchers, practitioners, and academics dedicated to the study and development of computational engineering techniques.

Journal Home: Journal Homepage

Editor-in-Chief: Michal Kleiber

Scope: The journal publishes high-quality research articles, reviews, and tutorial papers that cover a wide range of topics related to computational methods and their application in engineering. The scope of the journal is broad and interdisciplinary, emphasizing both theoretical advancements and practical implementations.
Key areas covered by the journal include, but are not limited to:
Numerical Methods and Algorithms: Development and analysis of numerical methods for solving engineering problems, Finite element methods, boundary element methods, and meshless methods, Computational techniques for differential equations and linear algebra.
Computational Mechanics: Methods and applications in solid mechanics, fluid mechanics, and structural mechanics, Multiscale and multiphysics modeling, Computational techniques for material science and engineering.
Optimization and Inverse Problems: Optimization techniques for engineering design and analysis, Inverse problems and parameter identification, Sensitivity analysis and uncertainty quantification.
Computational Fluid Dynamics (CFD): Methods for simulating fluid flow and heat transfer, Turbulence modeling and simulation, Applications of CFD in aerospace, automotive, and energy systems.
Computational Heat Transfer: Techniques for simulating heat conduction, convection, and radiation, Thermal analysis and design of engineering systems, Multiphase heat transfer problems.
Structural Analysis and Design: Computational methods for structural analysis and optimization, Dynamic analysis of structures. Applications in civil, mechanical, and aerospace engineering.
Computational Materials Science: Modeling and simulation of materials at atomic, molecular, and continuum scales, Techniques for predicting material properties and behavior, Applications in nanotechnology and materials design.
Multiphysics and Multiscale Modeling: Methods for simulating coupled physical phenomena, Multiscale modeling techniques bridging different spatial and temporal scales. Applications in complex engineering systems.
Computational Methods in Bioengineering: Modeling and simulation of biological systems and processes, Applications in medical device design, biomechanics, and tissue engineering, Computational techniques for drug delivery and personalized medicine.