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Journal of Computational Methods in Sciences and Engineering - IOS Press | 2024 Impact Factor:0.4 | Cite Score:1.0 | Q4

Journal of Computational Methods in Sciences and Engineering With Cite Score

Cite Score and Journal Rank of Journal of Computational Methods in Sciences and Engineering

  • About: Journal of Computational Methods in Sciences and Engineering (JCMSE) is a peer-reviewed academic journal dedicated to the development and application of computational methods in various scientific and engineering disciplines. It aims to advance the field by publishing high-quality research articles, technical notes, and reviews.
  • Objective: The primary objective of JCMSE is to promote the advancement of computational methods and their applications across a wide range of sciences and engineering disciplines. The journal seeks to publish innovative research that addresses both theoretical and practical challenges in computational methods, including numerical analysis, algorithm development, and computational modeling.
  • Interdisciplinary Approach: JCMSE adopts an interdisciplinary approach by incorporating research from diverse fields such as applied mathematics, computer science, engineering, physics, and other related disciplines. This approach encourages the integration of different methodologies and perspectives to address complex scientific and engineering problems.
  • Impact and Significance: The Journal of Computational Methods in Sciences and Engineering is significant for its role in advancing the use of computational methods in science and engineering. The journal provides a crucial platform for researchers and practitioners to share their latest findings and developments, contributing to the improvement of computational techniques and their applications. It serves as a valuable resource for those involved in the development and application of computational methods in various scientific and engineering contexts.

  • Editor-in-Chief:  Prof. Theodore Elias Simos,Prof. George Maroulis

  • Scope: The Journal of Computational Methods in Sciences and Engineering focuses on the application and development of computational techniques and methods across various scientific and engineering disciplines. It serves as a platform for publishing high-quality research that contributes to the advancement of computational methodologies and their practical applications.
  • 1. Numerical Analysis: Research on numerical methods for solving mathematical problems, including algorithms for linear algebra, differential equations, and optimization.
  • 2. Computational Fluid Dynamics: Studies related to the numerical simulation of fluid flow and related phenomena, including turbulence modeling and computational techniques for fluid mechanics.
  • 3. Computational Mechanics: Research on numerical methods and algorithms for solving problems in solid mechanics, including finite element analysis and structural modeling.
  • 4. Computational Electromagnetics: Studies on numerical techniques for solving electromagnetic field problems, including methods for antenna design, wave propagation, and electromagnetic compatibility.
  • 5. Computational Chemistry: Research on computational methods for studying chemical systems, including molecular dynamics, quantum chemistry, and chemical reaction modeling.
  • 6. Computational Biology: Studies on computational approaches to biological problems, including bioinformatics, systems biology, and computational genomics.
  • 7. High-Performance Computing: Research on computational techniques and architectures for high-performance computing, including parallel computing, distributed systems, and GPU-based computing.
  • 8. Computational Statistics: Research on computational methods for statistical analysis, including algorithms for data analysis, statistical modeling, and Bayesian methods.
  • 9. Computational Optimization: Studies on numerical techniques for solving optimization problems, including linear, nonlinear, and integer programming.
  • 10. Computational Simulation: Research on the use of computational models to simulate physical, biological, and engineering systems, including simulations of complex phenomena and systems.
  • 11. Computational Physics: Studies on numerical methods for solving problems in physics, including simulations of physical processes and computational techniques for theoretical physics.
  • 12. Computational Engineering: Research on computational methods and tools for solving engineering problems, including applications in mechanical, civil, aerospace, and chemical engineering.
  • 13. Computational Mathematics: Studies on mathematical methods and algorithms for solving computational problems, including advances in numerical mathematics and algorithm development.
  • 14. Computational Methods in Materials Science: Research on numerical techniques for studying materials properties, including simulations of material behavior and structure-property relationships.
  • 15. Computational Methods in Finance: Studies on computational techniques for financial modeling and risk analysis, including algorithms for option pricing, portfolio optimization, and financial forecasting.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  14727978

    Electronic ISSN:  

  • Abstracting and Indexing:  SCOPUS

  • Imapct Factor 2024:  0.4

  • Subject Area and Category:   Computer Science, Computer Science Applications, Engineering, Engineering (miscellaneous), Mathematics, Computational Mathematics

  • Publication Frequency:  

  • H Index:  22

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computational Mathematics

  • Cite Score:  1.0

  • SNIP:  0.263

  • Journal Rank(SJR):  0.179