Computer Physics Communications - Elsevier - Impact Factor

Computer Physics Communications - Elsevier | 2024 Impact Factor:3.4 | Cite Score:14.0 | Q1

Impact Factor and Journal Rank of Computer Physics Communications

About: The Computer Physics Communications Journal is a peer-reviewed publication by Elsevier that focuses on computational methodology and numerical analysis in the field of physics. The journal covers a wide range of topics including software development, computational techniques, and applications in various areas of physics. It serves as a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and communications that advance the understanding and application of computational physics.
Objective: The primary objective of the Computer Physics Communications Journal is to promote research and innovation in computational physics. The journal aims to explore theories, methodologies, algorithms, and applications that enhance the development and utilization of computational techniques in physics research. By publishing high-quality research, the journal seeks to address the challenges and opportunities in employing computational methods to solve complex physical problems.
Interdisciplinary Focus: The Computer Physics Communications Journal adopts an interdisciplinary approach, welcoming contributions from various fields related to computational physics, including but not limited to, Software Development for Physics, Numerical Analysis and Algorithms, High-Performance Computing in Physics, Simulation and Modeling, Quantum Computing, Computational Methods in Statistical Physics, Computational Fluid Dynamics, Computational Solid State Physics, Computational Astrophysics Applications of Computational Techniques in Experimental Physics. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced computational solutions that address real-world challenges in physics and related disciplines.
Global Reach and Impact: With a broad international readership and authorship, the Computer Physics Communications Journal has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in computational physics worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as materials science, quantum mechanics, fluid dynamics, and astrophysics.
High Standards and Rigorous Review: Maintaining high academic standards, the Computer Physics Communications Journal conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
Significance: The Computer Physics Communications Journal plays a significant role in advancing research and practice in the field of computational physics. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in computational methods and their applications in physics. It serves as an essential resource for researchers, practitioners, educators, and students interested in understanding and leveraging computational techniques to solve complex physical problems and improve scientific understanding.

Journal Home: Journal Homepage

Editor-in-Chief: Andrew Hazel

Scope: The Computer Physics Communications (CPC) journal, published by Elsevier, is a prominent peer-reviewed journal dedicated to the intersection of physics, computer science, and mathematics. It provides a platform for researchers, practitioners, and scholars to present their latest research, methodologies, and practical applications in computational physics and related disciplines. The journal covers a wide range of topics, emphasizing the development and application of computational methods to solve complex physical problems. Here ia an overview of its key focus areas and scope:
1. Computational Methods in Physics:
Research on the development and application of numerical and computational methods for solving physical problems.
Advancements in algorithms, mathematical models, and simulation techniques for computational physics.
2. High-Performance Computing:
Exploration of high-performance computing (HPC) techniques and their applications in physics research.
Research on parallel computing, distributed computing, and the use of supercomputers for large-scale simulations.
3. Software Development for Physics Applications:
Advancements in the design, development, and optimization of software tools and libraries for computational physics.
Research on software engineering practices, code verification, and performance optimization for scientific computing.
4. Quantum Computing and Simulation:
Exploration of quantum computing techniques and their applications in solving physical problems.
Research on quantum algorithms, quantum simulations, and the integration of quantum computing with classical computational methods.
5. Data Analysis and Visualization:
Advancements in data analysis, visualization, and interpretation techniques for computational physics.
Research on big data, machine learning, and artificial intelligence (AI) methods for analyzing complex physical datasets.
6. Computational Materials Science:
Exploration of computational methods for studying materials properties, behavior, and design.
Research on molecular dynamics, density functional theory, and other computational techniques for materials science.
7. Computational Fluid Dynamics:
Advancements in computational fluid dynamics (CFD) techniques for studying fluid behavior and interactions.
Research on turbulence modeling, multiphase flows, and applications of CFD in various fields of physics.
8. Astrophysical and Cosmological Simulations:
Exploration of computational methods for studying astrophysical phenomena and cosmological structures.
Research on simulations of galaxy formation, dark matter, and large-scale structure of the universe.
9. Plasma Physics and Fusion Research:
Advancements in computational methods for studying plasma behavior and fusion processes.
Research on magnetohydrodynamics, particle-in-cell simulations, and applications in fusion energy research.
10. Interdisciplinary Applications:
Exploration of computational techniques applied to interdisciplinary problems at the interface of physics and other scientific disciplines.
Research on computational biology, environmental physics, and other areas where physics-based computational methods are employed.