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Communications in Applied Mathematics and Computational Science | 2025 Impact Factor:0.3 | Cite Score:2.2 | SCOPUS Q2

Communications in Applied Mathematics and Computational Science Journal

Impact Factor and Journal Rank of Communications in Applied Mathematics and Computational Science

  • About: CAMCoS (Communications in Applied Mathematics and Computational Science) welcomes innovative papers that explore the intersection of mathematics and its applications. The journal particularly encourages submissions that trace an idea from its inception to its practical implementation, whether it be from abstract beginnings to software development or from computational observations to formal mathematical theories. CAMCoS covers a broad spectrum of fields, including the solution of ordinary, partial, and stochastic differential equations, integral equations, and numerical and analytical methods applicable to fluid dynamics, biology, quantum mechanics, statistical mechanics, as well as multiscale and underresolved problems. The journal places a strong emphasis on methodologies and computational tools, prioritizing their development over specific physical conclusions in particular cases.

  • Editor-in-Chief:  John B. Bell

  • Scope: CAMCoS (Computational and Applied Mathematics: Communications on Applied Mathematics and Computational Science) is a journal that focuses on the intersection of mathematics and its applications across various fields. Here is an overview of its scope and the topics it covers:
  • Solution of Differential Equations:
    Methods and techniques for solving ordinary differential equations (ODEs), partial differential equations (PDEs), and stochastic differential equations (SDEs).
    Research on numerical methods, analytical solutions, and computational approaches in differential equations.
  • Integral Equations:
    Advances in the theory and applications of integral equations, including numerical methods and analytical solutions.
    Studies on integral equations in physics, engineering, and other scientific disciplines.
  • Numerical and Analytical Methods:
    Development and application of numerical methods in fluid dynamics, biology, quantum mechanics, statistical mechanics, and other areas.
    Research on analytical methods for solving complex mathematical problems in applied sciences.
  • Fluid Dynamics:
    Computational methods and simulations in fluid dynamics, including turbulence modeling, multiphase flows, and computational fluid dynamics (CFD).
    Applications of fluid dynamics in engineering, environmental science, and geophysics.
  • Biological Applications:
    Mathematical modeling and computational methods in biology, including population dynamics, ecological modeling, and bioinformatics.
    Studies on mathematical biology and biostatistics.
  • Quantum and Statistical Mechanics:
    Computational approaches and mathematical modeling in quantum mechanics and statistical mechanics.
    Research on Monte Carlo methods, computational probability, and simulations in quantum systems.
  • Multiscale and Underresolved Problems:
    Techniques for addressing multiscale phenomena and underresolved problems using mathematical and computational methods.
    Research on scale-bridging methods and multiscale modeling.
  • Computational Probability and Monte-Carlo Methods:
    Advances in computational probability theory and Monte Carlo methods for solving complex probabilistic problems.
    Applications in finance, risk analysis, and stochastic modeling.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1559-3940

    Electronic ISSN:  2157-5452

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2025:  0.3

  • Subject Area and Category:  Computer Science, Computational Theory and Mathematics, Computer Science Applications, Mathematics, Applied Mathematics

  • Publication Frequency:  

  • H Index:  28

  • Best Quartile:

    Q1:  

    Q2:  Applied Mathematics

    Q3:  

    Q4:  

  • Cite Score:  2.2

  • SNIP:  1.044

  • Journal Rank(SJR):  0.456