FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY

Scope & Guideline

Advancing Knowledge in Geometry, Patterns, and Multidisciplinary Insights

Introduction

Delve into the academic richness of FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY 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
ISSN0218-348x
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 1995 to 2024
AbbreviationFRACTALS / Fractals-Complex Geom. Patterns Scaling Nat. Soc.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The journal "Fractals: Complex Geometry, Patterns, and Scaling in Nature and Society" focuses on the multifaceted applications of fractal geometry across various scientific disciplines, emphasizing both theoretical developments and practical applications.
  1. Fractal Geometry and Its Applications:
    The journal explores the mathematical foundations and applications of fractal geometry, including its implications in natural phenomena, social systems, and engineering.
  2. Fractional Calculus and Differential Equations:
    A significant portion of the research involves fractional calculus, particularly in the context of modeling complex systems described by fractional differential equations.
  3. Complex Systems and Network Theory:
    Research often centers on the dynamics of complex systems, including fractal networks and their behavior under various conditions, contributing to advancements in understanding real-world phenomena.
  4. Computational Modeling and Simulations:
    The journal publishes studies involving numerical methods and computational techniques to solve fractal and fractional-order models, facilitating the analysis of complex systems.
  5. Interdisciplinary Approaches:
    It emphasizes interdisciplinary research, integrating insights from mathematics, physics, biology, and engineering to address complex problems using fractal and fractional methodologies.
The journal has seen a rise in several emerging themes, reflecting current scientific interests and the evolving landscape of research in fractals and complex systems.
  1. Applications in Epidemiology:
    An increasing number of papers utilize fractal models to understand the dynamics of infectious diseases, especially in the context of COVID-19, indicating a growing intersection between fractals and public health.
  2. Machine Learning and AI Integration:
    There is a notable trend towards incorporating machine learning and artificial intelligence techniques in fractal analysis and modeling, enhancing the capabilities of traditional approaches.
  3. Environmental and Geophysical Applications:
    Research focusing on the application of fractal models to environmental science, including fluid dynamics in porous media and geological formations, has gained momentum.
  4. Complex Networks and Systems:
    The exploration of fractals within the framework of complex networks, particularly in social and biological systems, is becoming increasingly prevalent, reflecting the interdisciplinary nature of current research.
  5. Advanced Numerical Methods:
    Emerging interest in sophisticated numerical techniques for solving fractal and fractional differential equations is evident, showcasing advancements in computational methodologies.

Declining or Waning

While the journal remains robust in many areas, certain themes appear to be declining in prominence, indicating shifts in research focus and interest among authors.
  1. Traditional Applications of Fractals:
    There is a noticeable decrease in studies directly applying fractal geometry to classical fields such as art and architecture, as the focus shifts towards more complex, dynamic systems.
  2. Basic Fractal Analysis:
    Research that merely focuses on the basic properties of fractals, without deep computational or theoretical advancements, has seen reduced publication frequency, suggesting a move towards more innovative applications.
  3. Static Models:
    The trend indicates a waning interest in static models of fractal systems, as researchers increasingly favor dynamic and time-dependent models that capture the complexities of real-world behaviors.

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