Research in Mathematics
Scope & Guideline
Bridging gaps in mathematical scholarship with open access.
Introduction
Aims and Scopes
- Fractional Calculus and Its Applications:
This journal publishes research on fractional derivatives and integrals, emphasizing their applications in various fields such as physics, engineering, and biology. The focus includes fractional differential equations and their solutions. - Mathematical Modeling and Simulation:
There is a strong emphasis on developing mathematical models to simulate real-world phenomena, particularly in areas such as epidemiology, tumor growth, and population dynamics. Researchers explore the implications of these models through analytical and numerical methods. - Algebraic Structures and Theoretical Mathematics:
The journal features research on algebraic concepts, including group theory, fuzzy algebra, and polynomial structures. This area includes both theoretical explorations and practical applications in other branches of mathematics. - Numerical Analysis and Computational Methods:
A significant aspect of the journal is dedicated to numerical methods for solving mathematical problems, particularly those involving singularly perturbed differential equations and boundary value problems. - Interdisciplinary Applications of Mathematics:
The journal promotes interdisciplinary research, showcasing how mathematical principles can be applied to fields such as finance, social sciences, and environmental studies, thereby bridging gaps between mathematics and real-world applications.
Trending and Emerging
- Fractional Order Models in Biological Systems:
There has been a notable increase in research utilizing fractional order models to describe biological phenomena, such as tumor growth and disease transmission dynamics, highlighting their effectiveness in capturing the complexities of these systems. - Advanced Computational Techniques:
The trend towards sophisticated numerical methods, including collocation methods and finite element approaches, is growing. This reflects an increasing demand for efficient computational techniques to solve complex mathematical problems. - Fuzzy Logic and Soft Computing:
Emerging research in fuzzy logic and soft computing methods is gaining traction, particularly in applications related to algebraic structures and decision-making processes, showcasing the relevance of these concepts in modern mathematical research. - Interdisciplinary Applications of Mathematics in Social Sciences:
Research linking mathematics with social sciences, such as crime analysis and public health, is on the rise, emphasizing the importance of mathematical modeling in understanding and solving societal issues. - Dynamic Systems and Stability Analysis:
Papers focusing on the stability of dynamic systems, particularly those with delays or complex interactions, are becoming more frequent, reflecting a broader interest in understanding the behavior of systems over time.
Declining or Waning
- Classical Probability and Statistics:
Research focusing on traditional statistical methods and classical probability theory appears to be waning, possibly due to the rise of more complex modeling approaches and machine learning techniques that dominate contemporary research. - Basic Mathematical Education and Pedagogy:
There has been a noticeable decrease in publications that discuss mathematics education and pedagogy, indicating a potential shift away from educational methodologies towards more technical and applied mathematical research. - Elementary Number Theory:
Papers dedicated to elementary aspects of number theory have become less frequent, suggesting a possible transition towards more advanced and applied mathematical concepts, or a preference for topics that yield immediate practical applications.
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