TAIWANESE JOURNAL OF MATHEMATICS

Scope & Guideline

Connecting mathematicians through groundbreaking research.

Introduction

Immerse yourself in the scholarly insights of TAIWANESE 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
ISSN1027-5487
PublisherMATHEMATICAL SOC REP CHINA
Support Open AccessNo
CountryTaiwan
TypeJournal
Convergefrom 1997 to 2024
AbbreviationTAIWAN J MATH / Taiwan. J. Math.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNATL CHIAO TUNG UNIV, DEPT APPLIED MATHEMATICS, HSINCHU 00000, TAIWAN

Aims and Scopes

The Taiwanese Journal of Mathematics serves as a platform for disseminating high-quality research in the field of mathematics. It aims to present innovative theoretical contributions, methodologies, and applications across various mathematical disciplines.
  1. Applied and Computational Mathematics:
    Focusing on numerical methods, computational techniques, and applied mathematics, this area emphasizes the development and analysis of algorithms for solving mathematical problems arising in engineering, physics, and other sciences.
  2. Pure Mathematics and Theoretical Research:
    This includes research in algebra, geometry, topology, and analysis. The journal publishes papers that explore the fundamental properties and structures of mathematical objects.
  3. Differential Equations and Dynamic Systems:
    A core area of interest that covers ordinary and partial differential equations, dynamical systems, and their applications in modeling physical phenomena.
  4. Mathematical Physics:
    Research that intersects mathematics and physics, particularly in areas such as quantum mechanics, relativity, and statistical mechanics, is frequently featured.
  5. Optimization and Control Theory:
    This scope includes studies on optimization problems, variational methods, and control theory, highlighting both theoretical and practical aspects.
  6. Graph Theory and Combinatorics:
    The journal also emphasizes contributions in graph theory, combinatorial structures, and their applications in computer science and network analysis.
The Taiwanese Journal of Mathematics is evolving, with several emerging themes reflecting the latest trends and innovations in mathematical research. These areas are gaining traction and may shape the future direction of the journal.
  1. Fractional Calculus and Differential Equations:
    There is a noticeable increase in papers related to fractional calculus, emphasizing its applications in various fields, including physics and engineering, indicating a growing interest in non-integer order derivatives.
  2. Machine Learning and Data Science Applications:
    Research that integrates mathematical theories with machine learning and data science is on the rise, showcasing innovative methodologies for data analysis, modeling, and optimization.
  3. Nonlinear Dynamics and Chaos Theory:
    The exploration of nonlinear dynamics and chaos in both theoretical and applied contexts is becoming more prominent, reflecting the complexity of modern systems.
  4. Algebraic Geometry and Its Applications:
    Algebraic geometry is witnessing renewed interest, particularly in its applications to coding theory, cryptography, and complex systems, indicating a shift towards interdisciplinary research.
  5. Mathematical Biology and Epidemiology:
    With the recent global focus on health, mathematical modeling in biology and epidemiology, particularly concerning disease dynamics, has gained significant traction.

Declining or Waning

While the Taiwanese Journal of Mathematics has consistently published a broad range of topics, certain research areas appear to be declining in prominence. This shift may reflect changing interests within the mathematical community or a response to current global research trends.
  1. Classical Geometry:
    Papers focusing on traditional topics in classical geometry, such as Euclidean and non-Euclidean geometries, have become less frequent, possibly due to the rise of more abstract and computational approaches.
  2. Elementary Number Theory:
    Research in elementary number theory seems to be waning, with fewer papers addressing classical problems or methods, as the field shifts towards more complex and computationally intensive areas.
  3. Traditional Functional Analysis:
    While still relevant, topics in traditional functional analysis may be receiving less attention, with a noticeable increase in interest towards more applied or interdisciplinary approaches.
  4. Statistical Methods in Pure Mathematics:
    The intersection of statistics with pure mathematics has seen a decline, as the focus shifts towards more application-driven statistical methodologies in real-world scenarios.

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