Contemporary Mathematics
Scope & Guideline
Elevating Mathematical Understanding Through Rigorous Research
Introduction
Aims and Scopes
- Applied Mathematics:
The journal includes a significant number of papers that apply mathematical techniques to solve real-world problems, spanning fields such as finance, engineering, biology, and environmental science. - Theoretical Mathematics:
Research focusing on pure mathematical theories, including algebra, topology, analysis, and geometry, is a core aspect of the journal, contributing to the foundational understanding of mathematical principles. - Computational Methods:
Numerical and computational techniques are frequently explored, with a focus on developing new algorithms and methods for solving complex mathematical problems across various domains. - Statistical Modeling and Analysis:
The journal emphasizes statistical approaches and their applications in various fields, including healthcare, economics, and environmental studies, reflecting the growing importance of data-driven decision-making. - Interdisciplinary Research:
Contemporary Mathematics encourages interdisciplinary studies that integrate mathematical techniques with other scientific fields, fostering collaborations that advance both mathematics and its applications.
Trending and Emerging
- Machine Learning and AI Applications:
There is a notable increase in research related to machine learning and artificial intelligence, with studies exploring their applications in various sectors including healthcare, finance, and environmental monitoring. - Fractional Calculus:
The interest in fractional calculus has surged, with papers focusing on its theoretical aspects and applications in modeling complex systems, showcasing its relevance in contemporary mathematical research. - Network Theory and Graph Algorithms:
Research in network theory and graph algorithms has gained traction, reflecting the growing importance of these areas in understanding complex systems in computer science, biology, and social sciences. - Mathematical Modeling of Epidemics:
In light of recent global health challenges, there has been a significant increase in studies focusing on mathematical modeling of infectious diseases, particularly in relation to COVID-19, highlighting the urgent need for effective public health strategies. - Sustainability and Environmental Mathematics:
Emerging themes around sustainability are increasingly prevalent, with mathematical models being developed to address environmental issues and resource management, reflecting a broader societal concern for ecological impacts.
Declining or Waning
- Traditional Algebraic Structures:
Research on classical algebraic structures, such as ring theory and group theory, has seen a decrease in publications, possibly due to a shift towards more applied and computational mathematics. - Geometric Analysis:
Although still relevant, the focus on geometric analysis has waned as newer fields, such as data science and machine learning, begin to dominate mathematical research. - Classical Differential Equations:
Papers dedicated to classical differential equations are less frequent, as there is a growing trend towards exploring fractional and partial differential equations, reflecting advancements in mathematical modeling techniques. - Single-Domain Mathematical Models:
The shift towards multifaceted, interdisciplinary approaches has led to a decline in the publication of single-domain mathematical models, as researchers increasingly seek to integrate various mathematical frameworks.
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