TWMS Journal of Applied and Engineering Mathematics

Scope & Guideline

Fostering Breakthroughs in Computational and Numerical Analysis

Introduction

Welcome to your portal for understanding TWMS Journal of Applied and Engineering Mathematics, 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
ISSN2146-1147
PublisherTURKIC WORLD MATHEMATICAL SOC
Support Open AccessNo
CountryTurkey
TypeJournal
Convergefrom 2018 to 2024
AbbreviationTWMS J APPL ENG MATH / TWMS J. Appl. Eng. Math.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressZ KHALILOV STR, 23, BAKU AZ 1148, AZERBAIJAN

Aims and Scopes

The TWMS Journal of Applied and Engineering Mathematics focuses on advancing the field through innovative research and applications of mathematical principles in engineering and applied sciences. It serves as a platform for disseminating novel methodologies and theoretical advancements that can be applied to practical problems.
  1. Applied Mathematical Modeling:
    The journal emphasizes the development and application of mathematical models to solve real-world problems, particularly in engineering, environmental science, and technology.
  2. Numerical Methods and Computational Techniques:
    A key area of focus is the exploration of numerical methods for solving complex mathematical problems, including differential equations, optimization problems, and stochastic models.
  3. Graph Theory and Network Analysis:
    Research related to graph theory, including domination numbers, labeling, and network optimization, is prevalent, highlighting the importance of discrete mathematics in understanding complex systems.
  4. Fractional Calculus and Differential Equations:
    The journal often publishes articles on fractional calculus and its applications, reflecting a growing interest in non-integer order derivatives and their implications in various fields.
  5. Fuzzy Logic and Soft Computing:
    Research involving fuzzy sets, soft computing techniques, and their applications in decision-making processes is a significant theme, showcasing the journal's commitment to integrating advanced computational methods.
  6. Statistical Analysis and Probability:
    The inclusion of statistical methods and probability theory in various studies indicates a focus on data-driven approaches and the importance of statistical rigor in applied mathematics.
The TWMS Journal of Applied and Engineering Mathematics has experienced a shift in focus towards several emerging themes that reflect current trends in research and technology. These areas are increasingly relevant in addressing contemporary challenges across various fields.
  1. Machine Learning and Data Science Applications:
    An increasing number of papers are exploring the intersection of mathematics with machine learning and data science, emphasizing the application of mathematical models to analyze and interpret large datasets.
  2. Advanced Stochastic Processes:
    Research in stochastic processes, particularly in modeling uncertainty and randomness in systems, has gained traction, reflecting a broader trend towards incorporating probabilistic methods in applied mathematics.
  3. Fractional Differential Equations:
    The growing interest in fractional calculus and its applications in modeling complex systems has been a key emerging theme, highlighting the need for advanced mathematical techniques in contemporary research.
  4. Multi-Criteria Decision Making:
    There is a notable increase in studies addressing multi-criteria decision-making problems, particularly those utilizing fuzzy logic and soft computing methods, which are becoming essential in various fields including operations research and resource management.
  5. Environmental and Ecological Modeling:
    Research focusing on the mathematical modeling of ecological systems and environmental issues, such as pollution dynamics and resource management, has increased, reflecting a growing awareness of sustainability and ecological balance.

Declining or Waning

While the journal has consistently focused on several core areas, some themes have seen a decline in prominence over recent years. This shift may reflect evolving research interests or emerging methodologies within the mathematical sciences.
  1. Classical Analysis:
    There has been a noticeable decrease in publications centered around classical mathematical analysis, such as traditional calculus and its applications, as researchers increasingly turn to more advanced or applied mathematical frameworks.
  2. Elementary Algebraic Structures:
    Research focusing on basic algebraic structures and their properties appears to be waning, with a shift towards more complex and abstract algebraic concepts that have direct applications in engineering and technology.
  3. Static Mathematical Models:
    The frequency of studies featuring static models—those not accounting for dynamic changes over time—has declined, as the trend moves towards dynamic modeling that incorporates time-dependent variables and real-time data.
  4. Deterministic Models:
    There is a growing preference for stochastic models over deterministic approaches in various applications, particularly in fields such as epidemiology and finance, leading to a decrease in the latter's representation in the journal.

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