Thai Journal of Mathematics

Scope & Guideline

Fostering knowledge exchange to shape the future of mathematics.

Introduction

Immerse yourself in the scholarly insights of Thai Journal of Mathematics 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
ISSN1686-0209
PublisherCHIANG MAI UNIV, FAC SCIENCE
Support Open AccessNo
CountryThailand
TypeJournal
Convergefrom 2011 to 2024
AbbreviationTHAI J MATH / Thai J. Math.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address239 HUAY KAEW RD, T SUTHEP, CHIANG MAI 50200, THAILAND

Aims and Scopes

The Thai Journal of Mathematics primarily focuses on the advancement of mathematical theories and their applications across various domains. It aims to provide a platform for researchers to share their findings in both pure and applied mathematics, ensuring a comprehensive coverage of emerging mathematical fields and methodologies.
  1. Fixed Point Theory:
    The journal has a strong emphasis on fixed point theory, exploring various aspects such as common fixed points, generalized contractions, and applications in metric and Banach spaces.
  2. Variational Inequalities and Optimization Problems:
    Research on variational inequalities and optimization techniques is prevalent, with many papers addressing both theoretical developments and practical algorithms for solving complex optimization problems.
  3. Fractional Calculus and Differential Equations:
    The journal includes significant contributions to fractional calculus, particularly in the context of differential equations, emphasizing the development of new methods and their applications.
  4. Graph Theory and Combinatorics:
    Graph theory and combinatorial mathematics are core areas of focus, with papers covering topics such as graph colorings, connectivity, and various combinatorial structures.
  5. Machine Learning and Data Analysis:
    The integration of machine learning techniques with mathematical theories is increasingly represented, especially in the context of data classification and predictive modeling.
  6. Algebra and Algebraic Structures:
    Research on algebraic systems, including rings, groups, and semigroups, is a consistent theme, with a focus on their properties and applications.
  7. Applied Mathematics and Mathematical Modeling:
    The journal caters to applied mathematics, featuring research on mathematical models in diverse fields such as epidemiology, environmental science, and economics.
Recent trends in the Thai Journal of Mathematics highlight several emerging themes that reflect the evolving landscape of mathematical research. These trends indicate a growing interest in interdisciplinary approaches and innovative methodologies.
  1. Interdisciplinary Applications of Mathematics:
    There is a noticeable increase in research that applies mathematical theories to interdisciplinary fields such as biology, environmental science, and social sciences, showcasing the versatility of mathematics.
  2. Advanced Machine Learning Techniques:
    The incorporation of advanced machine learning algorithms and data-driven approaches for solving mathematical problems is rapidly gaining traction, reflecting the need for innovative solutions in data analysis.
  3. Fractional Differential Equations and Their Applications:
    The exploration of fractional differential equations is on the rise, with numerous papers discussing their theoretical aspects and applications in various scientific domains.
  4. Graph Theory in Network Science:
    There is an emerging focus on the applications of graph theory within network science, particularly in understanding complex systems and relationships in data.
  5. Mathematical Modeling of Epidemics:
    Given the global emphasis on health issues, there is a surge in mathematical modeling related to epidemics, indicating a trend towards using mathematics for public health insights.

Declining or Waning

While the Thai Journal of Mathematics maintains a diverse array of topics, certain areas have shown a declining trend in recent publications. This may reflect shifts in research focus or the emergence of new methodologies and applications.
  1. Traditional Numerical Methods:
    There appears to be a decline in papers focusing on traditional numerical methods, as newer computational techniques and algorithms gain prominence.
  2. Classical Theoretical Physics Applications:
    Research linking classical physics with mathematical theories is less frequent, possibly overshadowed by more contemporary applications in computational and applied mathematics.
  3. Elementary Number Theory:
    Papers specifically addressing elementary number theory topics have become less common, indicating a potential shift towards more complex or applied branches of mathematics.

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