COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS

Scope & Guideline

Bridging Mathematics and Physics through Innovative Research

Introduction

Immerse yourself in the scholarly insights of COMPUTATIONAL MATHEMATICS AND MATHEMATICAL PHYSICS with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0965-5425
PublisherPLEIADES PUBLISHING INC
Support Open AccessNo
CountryUnited States
TypeJournal
Converge1985, from 1991 to 1996, from 1999 to 2024
AbbreviationCOMP MATH MATH PHYS+ / Comput. Math. Math. Phys.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPLEIADES HOUSE, 7 W 54 ST, NEW YORK, NY 10019, UNITED STATES

Aims and Scopes

The journal 'Computational Mathematics and Mathematical Physics' focuses on the intersection of computational techniques and mathematical theories to address complex problems in various scientific fields. This includes the development and analysis of numerical methods, theoretical investigations, and applications of mathematical models to real-world scenarios.
  1. Numerical Methods for Differential Equations:
    The journal publishes research on various numerical methods for solving ordinary and partial differential equations, including finite element, finite difference, and spectral methods.
  2. Mathematical Modeling in Physics and Engineering:
    Research that involves mathematical modeling of physical phenomena, including fluid dynamics, heat transfer, and electromagnetic fields, is a core focus area.
  3. Stochastic and Statistical Approaches:
    The journal explores stochastic methods and statistical frameworks applied to mathematical problems, particularly in the context of uncertainty quantification and data assimilation.
  4. Optimization Problems:
    There is a strong emphasis on optimization techniques, including control theory, variational methods, and algorithm development for solving complex optimization problems.
  5. Applications of Computational Techniques:
    The journal highlights the application of computational mathematics in various domains such as physics, engineering, biology, and finance, showcasing interdisciplinary research.
  6. Theoretical Investigations:
    Theoretical contributions that advance the understanding of computational techniques, convergence analysis, and error estimation are also prominently featured.
The journal has seen a notable increase in publications related to specific themes that reflect current trends in computational mathematics and mathematical physics. These emerging scopes are indicative of the evolving landscape of research in these fields.
  1. Advanced Computational Techniques:
    There is a growing trend towards sophisticated computational methods such as high-order schemes, adaptive mesh refinement, and machine learning applications in numerical simulations.
  2. Multiscale Modeling and Simulation:
    Emerging themes include multiscale modeling approaches that bridge different scales in physical systems, highlighting the complexity of interactions in materials and phenomena.
  3. Data-Driven Methods and Machine Learning:
    The integration of data-driven approaches and machine learning techniques in solving mathematical problems is increasingly prevalent, reflecting a broader trend in computational research.
  4. Nonlinear Dynamics and Complex Systems:
    Research focusing on nonlinear dynamics, chaos theory, and complex systems is on the rise, showcasing the journal's commitment to addressing intricate mathematical challenges.
  5. Interdisciplinary Applications:
    There is a notable increase in interdisciplinary studies that apply computational mathematics to diverse fields, including biology, environmental science, and finance, reflecting the journal's broadening scope.

Declining or Waning

In recent years, certain areas of focus within 'Computational Mathematics and Mathematical Physics' appear to be declining in prominence. This may reflect shifts in research priorities or the saturation of specific topics.
  1. Classical Analytical Methods:
    There seems to be a diminishing focus on purely analytical methods, particularly those that do not integrate computational techniques or numerical simulations.
  2. Basic Numerical Analysis:
    Basic numerical analysis topics, such as simple algorithms and fundamental linear algebra methods, are appearing less frequently as the journal emphasizes more advanced and application-oriented approaches.
  3. Generalized Solutions without Computational Context:
    Research focusing on generalized solutions to mathematical problems without a computational framework or practical application is becoming less common.
  4. Theoretical Physics without Computational Aspects:
    Theoretical contributions that do not incorporate computational methods or simulations are declining, possibly due to the journal's evolving emphasis on practical applications.

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