Journal of Mathematics Mechanics and Computer Science

Scope & Guideline

Innovating solutions through the synergy of mechanics and computer science.

Introduction

Delve into the academic richness of Journal of Mathematics Mechanics and Computer Science with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageMulti-Language
ISSN1563-0277
PublisherAL-FARABI KAZAKH NATL UNIV
Support Open AccessYes
Country-
TypeJournal
Convergefrom 2019 to 2024
AbbreviationJ MATH MECH COMPUT S / J. Math. Mech. Comput. Sci.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address71, AL-FARABI AVE, ALMATY 00000, KAZAKHSTAN

Aims and Scopes

The Journal of Mathematics Mechanics and Computer Science focuses on the intersection of mathematical theory, mechanical applications, and computational methods. It aims to disseminate high-quality research that advances knowledge in these fields, promoting innovative methodologies and applications.
  1. Mathematical Modeling:
    The journal emphasizes mathematical modeling across various disciplines, including engineering, physics, and environmental sciences. It encourages the development of models that can simulate real-world phenomena and contribute to practical solutions.
  2. Numerical Analysis and Computational Methods:
    A core focus of the journal is on numerical methods for solving complex mathematical problems. This includes the development of algorithms and computational techniques for simulations in mechanics and other applied sciences.
  3. Control Systems and Robotics:
    Research related to control systems, robotics, and automation represents a significant area of interest. The journal publishes studies that explore the design, analysis, and implementation of control systems in robotic applications.
  4. Differential Equations and Their Applications:
    The journal includes a robust collection of research on differential equations, particularly those that arise in mechanical and physical contexts. This encompasses both theoretical aspects and practical applications in engineering.
  5. Interdisciplinary Applications:
    The journal promotes interdisciplinary research that combines mathematics, mechanics, and computer science. This includes studies that apply mathematical techniques to solve problems in diverse fields such as biology, economics, and social sciences.
Recent publications in the journal highlight emerging themes that reflect current trends in mathematics, mechanics, and computer science. These areas of research are gaining attention and represent the future direction of the journal.
  1. Machine Learning and Data Science Applications:
    There is an increasing number of papers focusing on the application of machine learning techniques to solve complex problems in engineering and mathematics. This trend indicates a shift towards integrating data-driven approaches in traditional fields.
  2. Advanced Computational Techniques:
    Research involving advanced computational techniques, such as parallel computing and simulations using CUDA, is on the rise. This reflects the growing importance of high-performance computing in solving large-scale mathematical problems.
  3. Robotics and Automation Innovations:
    The journal is seeing a notable increase in publications related to robotics, particularly in the context of autonomous systems and robotic manipulation. This trend highlights the relevance of robotics in contemporary research.
  4. Interdisciplinary Research in Environmental Science:
    There is a growing emphasis on interdisciplinary research that applies mathematical modeling to environmental issues, such as pollutant dispersion and resource management. This reflects a global trend towards sustainability and environmental stewardship.
  5. Control Theory in Emerging Technologies:
    The exploration of control theory in the context of new technologies, including smart systems and IoT, is becoming more prominent. This trend signifies the evolving nature of control systems in response to technological advancements.

Declining or Waning

While the journal has consistently published a wide range of topics, certain themes have shown a decline in frequency over recent years. This may reflect shifts in research priorities or advancements in methodologies that render previous approaches less relevant.
  1. Traditional Mechanical Engineering Problems:
    Research focused on classical mechanical engineering problems appears to be waning, possibly due to the shift towards more computational and simulation-based approaches in contemporary engineering education and practice.
  2. Basic Theoretical Studies in Mathematics:
    There seems to be a decrease in the publication of purely theoretical mathematical studies without direct applications. This trend may indicate a growing preference for research with immediate practical implications.
  3. Conventional Numerical Methods:
    While numerical methods remain a key focus, there is a noticeable decline in conventional approaches in favor of more advanced techniques, such as machine learning and data-driven methods, which are gaining traction.

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