JOURNAL OF INTERDISCIPLINARY MATHEMATICS

Scope & Guideline

Empowering Scholars to Unravel Complex Mathematical Concepts

Introduction

Welcome to your portal for understanding JOURNAL OF INTERDISCIPLINARY 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
ISSN0972-0502
PublisherTARU PUBLICATIONS
Support Open AccessNo
CountryIndia
TypeJournal
Convergefrom 1998 to 2024
AbbreviationJ INTERDISCIP MATH / J. Interdiscip. Math.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressG-159, PUSHKAR ENCLAVE, PASHCHIM VIHAR, NEW DELHI 110 063, INDIA

Aims and Scopes

The Journal of Interdisciplinary Mathematics focuses on the integration of various mathematical disciplines and their applications across diverse fields, emphasizing innovative methodologies and theoretical advancements.
  1. Mathematical Modeling and Analysis:
    The journal publishes papers that develop mathematical models to analyze complex systems, particularly in areas such as epidemiology, fluid dynamics, and machine learning.
  2. Computational Methods and Algorithms:
    A significant emphasis is placed on the development and application of computational techniques, including numerical methods, optimization algorithms, and statistical analysis.
  3. Interdisciplinary Applications:
    The journal explores the application of mathematical theories and methods in various domains, including engineering, biology, finance, and social sciences, fostering interdisciplinary research.
  4. Theoretical Advancements:
    Research that contributes to the theoretical foundation of mathematics, including new mathematical constructs, theorems, and proofs, is a core focus.
  5. Fuzzy and Soft Set Theories:
    Papers that address fuzzy logic and soft set theories, particularly their applications in decision-making and optimization, are prevalent.
  6. Fractional Calculus and Differential Equations:
    The journal features research on fractional differential equations and their applications, reflecting a growing interest in non-integer order calculus.
  7. Topological and Algebraic Structures:
    Research exploring topological spaces, algebraic structures, and their properties forms a critical part of the journal's offerings.
The Journal of Interdisciplinary Mathematics is experiencing an evolution in its research themes, with several emerging areas gaining significant attention.
  1. Machine Learning and AI Applications:
    The integration of machine learning and artificial intelligence into mathematical modeling and analysis is becoming increasingly prominent, reflecting a broader trend in the use of data-driven approaches in research.
  2. COVID-19 Related Mathematical Models:
    A surge in publications related to mathematical modeling of COVID-19 demonstrates the journal's responsiveness to global health challenges, highlighting the importance of applied mathematics in public health.
  3. Fractional Calculus Applications:
    The rising interest in fractional calculus, particularly its applications in various fields such as control theory and signal processing, marks a significant trend in recent publications.
  4. Interdisciplinary Research Collaborations:
    There is a growing trend towards interdisciplinary research, where mathematicians collaborate with experts from fields like biology, economics, and engineering, leading to innovative solutions to complex problems.
  5. Fuzzy Logic and Decision-Making Models:
    An increase in research focusing on fuzzy logic and decision-making models reflects a growing interest in handling uncertainty and imprecision in various applications.
  6. Numerical Simulation Techniques:
    The development and application of advanced numerical simulation techniques for solving complex mathematical problems are increasingly being emphasized in recent publications.

Declining or Waning

While the journal has seen growth in various research areas, certain themes have begun to decline in prominence, indicating a shift in focus among researchers.
  1. Traditional Approaches to Differential Equations:
    There appears to be a waning interest in classical methods for solving ordinary and partial differential equations, as newer computational and fractional techniques gain traction.
  2. Basic Algebraic Structures:
    Research centered on elementary algebraic structures, such as basic group theory or classical ring theory, is being published less frequently, possibly due to a shift towards more complex and applied mathematical frameworks.
  3. Static Mathematical Models:
    The emphasis on static models without dynamic or time-dependent considerations is declining, as researchers increasingly favor models that address real-time changes and interactions.
  4. Conventional Statistical Methods:
    There is a noticeable reduction in the publication of papers focusing solely on conventional statistical methods, as advanced machine learning techniques and big data analytics become more prominent.

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