Filomat

Scope & Guideline

Cultivating a Deeper Understanding of Mathematical Theories

Introduction

Delve into the academic richness of Filomat with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0354-5180
PublisherUNIV NIS, FAC SCI MATH
Support Open AccessNo
CountrySerbia
TypeJournal
Convergefrom 2010 to 2024
AbbreviationFILOMAT / Filomat
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 224, VISEGRADSKA 33, NIS 18000, SERBIA MONTENEG

Aims and Scopes

The journal "Filomat" primarily focuses on the dissemination of research in the fields of mathematics, particularly those intersecting with mathematical analysis, algebra, and applied mathematics. The scope encompasses theoretical developments, applied methodologies, and computational techniques that contribute to the advancement of mathematical knowledge.
  1. Mathematical Analysis:
    Research in this area involves the study of limits, continuity, differentiation, integration, and infinite series, providing a foundational framework for understanding more complex mathematical structures.
  2. Algebra and Its Applications:
    This includes the study of algebraic structures such as groups, rings, fields, and modules, as well as their applications in solving equations and modeling real-world phenomena.
  3. Functional Analysis:
    Exploration of vector spaces and operators, focusing on properties of functions and functionals, often with applications in differential equations and quantum mechanics.
  4. Differential Equations:
    A significant focus on both ordinary and partial differential equations, including their theoretical aspects and numerical solutions.
  5. Numerical Methods and Approximations:
    Development of algorithms and techniques for numerical analysis, including approximation theory, interpolation, and numerical solutions to mathematical problems.
  6. Graph Theory and Combinatorics:
    Research on the properties and applications of graphs, including their mathematical foundations and implications in various scientific fields.
  7. Topology and Geometry:
    Studies that encompass both algebraic and geometric topology, exploring properties of spaces and their transformations.
  8. Fuzzy Logic and Soft Sets:
    Research involving fuzzy set theories and their applications in decision-making processes, data analysis, and uncertainty modeling.
Recent publications in "Filomat" indicate a vibrant shift towards certain trending and emerging themes that reflect contemporary mathematical challenges and interdisciplinary research. These themes are gaining traction and are likely to shape future research directions.
  1. Fractional Calculus:
    An increasing number of papers focus on fractional differential equations and their applications, reflecting a growing interest in non-integer order derivatives which have implications in various fields including physics and engineering.
  2. Machine Learning and Data Science Applications:
    There is a noticeable rise in research that integrates mathematical theories with machine learning algorithms, statistical models, and data analysis techniques, showcasing the interdisciplinary nature of current mathematical research.
  3. Complex Systems and Dynamical Systems:
    Emerging studies on complex systems, including chaos theory and dynamical systems, are gaining popularity as researchers seek to understand intricate behavior in various scientific contexts.
  4. Topological Data Analysis:
    This area is becoming increasingly relevant, with a focus on using topology to analyze data structures, which is particularly useful in fields like neuroscience and materials science.
  5. Optimization Problems:
    Research on various optimization techniques, especially in fractional and stochastic contexts, is trending as applications in economics, engineering, and operational research grow.

Declining or Waning

While "Filomat" continues to thrive in various mathematical domains, certain areas of focus have shown signs of waning interest or publication frequency. This decline may reflect shifting research priorities or advancements in other methodologies.
  1. Classical Mathematical Physics:
    Research that primarily focuses on classical physics applications in mathematics has seen a decline, possibly due to a shift towards quantum and relativistic studies which offer more contemporary relevance.
  2. Elementary Number Theory:
    Papers focusing on fundamental aspects of number theory have decreased, as researchers increasingly explore more complex areas such as algebraic number theory and computational methods.
  3. Traditional Statistical Methods:
    The publication of papers solely dedicated to classical statistical methods has waned, with a growing emphasis on modern statistical learning, machine learning, and data science methodologies.

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