Applied Mathematics in Science and Engineering

Scope & Guideline

Bridging Disciplines for a Mathematical Tomorrow.

Introduction

Welcome to your portal for understanding Applied Mathematics in Science and Engineering, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN-
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationAPPL MATH SCI ENG / Appl. Math. Sci. Eng.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal "Applied Mathematics in Science and Engineering" emphasizes the application of advanced mathematical techniques and theories to real-world problems across various scientific and engineering domains. It seeks to bridge the gap between theory and practical application, encouraging interdisciplinary research that utilizes mathematical modeling, numerical analysis, and computational methods.
  1. Mathematical Modeling:
    The journal focuses on developing mathematical models to describe complex phenomena in science and engineering, including biology, physics, and environmental studies.
  2. Numerical Analysis:
    A significant emphasis is placed on numerical methods and algorithms for solving differential equations, optimization problems, and simulations relevant to engineering applications.
  3. Fractional Calculus:
    Research involving fractional derivatives and integrals has gained prominence, showcasing their applications in various fields such as control theory, signal processing, and dynamical systems.
  4. Statistical and Probabilistic Methods:
    The journal includes studies that apply statistical and probabilistic models to analyze data and predict outcomes in fields like epidemiology, finance, and resource management.
  5. Interdisciplinary Applications:
    The journal encourages research that integrates mathematics with other disciplines, highlighting applications in health sciences, environmental science, and engineering technology.
Recent publications reflect a dynamic evolution of research themes within the journal, indicating a shift towards innovative methodologies and interdisciplinary approaches. The following themes have emerged prominently in recent years.
  1. Fractional Differential Equations:
    There is a growing interest in fractional differential equations, which are being applied to model complex systems in biology, physics, and engineering, highlighting their significance in contemporary research.
  2. Machine Learning and Artificial Intelligence:
    The application of machine learning techniques, particularly in predictive modeling and data analysis, is increasingly featured, reflecting the integration of computational methods with traditional mathematical approaches.
  3. Epidemiological Modeling:
    Research focused on mathematical modeling of infectious diseases, particularly in light of the COVID-19 pandemic, has surged, demonstrating the relevance of applied mathematics in public health.
  4. Numerical Solutions for Nonlinear Problems:
    There is a notable trend towards developing advanced numerical methods for solving nonlinear equations, which are crucial for simulating real-world phenomena in various scientific fields.
  5. Complex Systems and Dynamics:
    The exploration of complex dynamical systems, including those influenced by fractals and chaotic behavior, is gaining attention, reflecting a broader interest in understanding intricate interactions within systems.

Declining or Waning

While the journal continues to explore a wide array of mathematical applications, certain themes have shown a decline in prominence in recent years. This may reflect changing research interests or the maturation of specific mathematical techniques.
  1. Purely Theoretical Mathematics:
    There has been a noticeable decrease in papers focused solely on pure theoretical mathematics without direct applications, as the journal increasingly prioritizes applied studies.
  2. Basic Algebra and Combinatorics:
    Research centered on elementary algebra and combinatorial studies appears to be waning, possibly due to a shift towards more complex applications involving advanced mathematical structures.
  3. Traditional Numerical Methods:
    While numerical analysis remains a core area, traditional methods that do not incorporate contemporary advancements, like machine learning, are being published less frequently.
  4. Classical Control Theory:
    Classical control methods are becoming less common in favor of more contemporary approaches, such as adaptive and robust control strategies that leverage advanced mathematical frameworks.

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