Mathematics in Applied Sciences and Engineering

Scope & Guideline

Catalyzing growth in modeling and simulation research.

Introduction

Immerse yourself in the scholarly insights of Mathematics in Applied Sciences and Engineering 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
ISSN-
PublisherWESTERN LIBRARIES
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationMATH APPL SCI ENG / Math. Appl. Sci. Eng.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressUNIV WESTERN ONTARIO, 1151 RICHMOND ST, LONDON, ON N6A 3K7, CANADA

Aims and Scopes

The journal 'Mathematics in Applied Sciences and Engineering' focuses on the application of mathematical principles and methods to solve complex problems across various scientific and engineering disciplines. It encompasses a wide range of topics that employ quantitative modeling, analytical techniques, and computational methods.
  1. Mathematical Modeling in Biological Systems:
    The journal emphasizes the development and analysis of mathematical models to depict biological phenomena, including predator-prey dynamics, disease transmission, and ecological interactions.
  2. Queueing Theory and Operations Research:
    Research in this area explores mathematical models related to service systems, such as queueing dynamics, server performance, and system optimization under various conditions.
  3. Control Theory and Systems Engineering:
    Papers often focus on the application of control theory to design systems that maintain desired outputs in the presence of uncertainties, disturbances, and varying conditions.
  4. Numerical Methods and Computational Techniques:
    The journal includes studies that develop or apply numerical methods for solving complex mathematical equations, particularly in engineering and physical sciences.
  5. Graph Theory and Network Analysis:
    Significant contributions involve the exploration of graph properties, network dynamics, and optimization problems, offering insights into combinatorial and topological aspects.
  6. Statistical and Probabilistic Models:
    Articles frequently cover the application of statistical methods and probabilistic models to analyze data and predict outcomes in various fields, including epidemiology and environmental science.
The journal has increasingly focused on several trending and emerging themes that reflect current scientific challenges and technological advancements. These areas are gaining traction among researchers and are expected to continue shaping the journal's future publications.
  1. Epidemiological Modeling:
    Recent papers have emphasized the development of mathematical models to understand and predict the dynamics of infectious diseases, particularly in light of global health crises like COVID-19. This theme is crucial for public health planning and response.
  2. Environmental and Ecological Applications:
    There is a growing trend towards modeling ecological interactions and environmental changes, including pollution effects and species dynamics, highlighting the importance of sustainability and environmental health.
  3. Artificial Intelligence and Machine Learning Applications:
    The integration of artificial intelligence techniques, such as neural networks, into mathematical modeling is emerging as a significant theme, showcasing the journal's adaptation to contemporary computational methods.
  4. Complex Systems and Network Dynamics:
    Research focusing on complex systems, including social networks and ecological models, is on the rise, reflecting the need for understanding interdependencies and systemic behavior in various fields.
  5. Optimization and Decision-Making Models:
    There is an increasing emphasis on optimization techniques for decision-making in engineering and management, indicating a shift towards practical applications of mathematical theories.

Declining or Waning

While the journal maintains a robust focus on various mathematical applications, certain themes have shown a decline in prominence over recent years. This shift reflects changing research interests and the evolving landscape of applied mathematics.
  1. Traditional Mechanical Systems:
    There has been a noticeable decrease in papers focusing solely on classical mechanical systems and their analysis, as the field shifts toward more interdisciplinary approaches that integrate biology and environmental science.
  2. Purely Theoretical Mathematics:
    The journal has seen fewer submissions centered on abstract theoretical mathematics without direct applications, indicating a trend towards more applied and practical research.
  3. Static Models without Dynamic Components:
    Research that presents static models lacking a dynamic or time-dependent analysis has declined, as there is growing interest in models that incorporate temporal changes and adaptability.

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