NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS

Scope & Guideline

Innovating Through Nonlinear Insights

Introduction

Welcome to the NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1468-1218
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2000 to 2025
AbbreviationNONLINEAR ANAL-REAL / Nonlinear Anal.-Real World Appl.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Aims and Scopes

The journal 'NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS' focuses on the development and application of nonlinear analysis techniques to address various real-world problems across diverse fields. The journal emphasizes both theoretical advancements and practical applications, with a particular interest in mathematical modeling, stability analysis, and dynamical systems.
  1. Nonlinear Partial Differential Equations (PDEs):
    The journal extensively covers studies related to nonlinear PDEs, exploring existence, uniqueness, and stability of solutions, as well as their applications in physical and biological systems.
  2. Mathematical Modeling of Biological Systems:
    A significant focus is on the mathematical modeling of biological phenomena, particularly in epidemiology, population dynamics, and ecological systems, where authors apply nonlinear analysis to understand complex interactions.
  3. Fluid Dynamics and MHD Systems:
    Research related to fluid dynamics, including the Navier-Stokes equations and magnetohydrodynamics (MHD), is prevalent, addressing theoretical aspects and real-world implications in engineering and physics.
  4. Stability and Bifurcation Analysis:
    The journal features studies on stability analysis, bifurcation phenomena, and dynamical behaviors of systems, which are essential for understanding the long-term behavior of nonlinear systems.
  5. Nonlinear Dynamics and Chaos:
    Research on nonlinear dynamics, including chaos theory and complex systems, is a core area, highlighting the intricate behaviors that can arise in nonlinear systems.
  6. Applications in Engineering and Physics:
    The journal aims to bridge theoretical research with practical applications, showcasing studies that apply nonlinear analysis techniques to solve engineering problems, including materials science and structural analysis.
The journal has witnessed emerging themes that reflect current research trends and the evolving landscape of nonlinear analysis applications. These themes are increasingly relevant as they address contemporary challenges in various fields.
  1. Epidemiological Models:
    There is a marked increase in publications related to mathematical models for infectious diseases, highlighting the importance of understanding disease dynamics, particularly in light of recent global health challenges.
  2. Chemotaxis and Nonlocal Models:
    Research on chemotaxis and nonlocal interaction models is trending, reflecting the growing interest in understanding how these processes impact ecological and biological systems.
  3. Complex Systems and Network Dynamics:
    Emerging studies focus on complex systems and network dynamics, particularly in the context of ecological and social networks, indicating a shift towards interdisciplinary approaches.
  4. Adaptive and Stochastic Systems:
    The journal is increasingly publishing works that explore adaptive systems and stochastic processes, emphasizing the need for models that can accommodate uncertainty and variability in real-world applications.
  5. Nonlinear Control Theory:
    There is a growing interest in nonlinear control theory, particularly in the context of systems that require robust control strategies to manage complex dynamics effectively.

Declining or Waning

While 'NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS' maintains a robust focus on various topics, certain areas have shown a decline in prominence in recent publications. This may reflect evolving research interests or shifts towards more pressing contemporary issues.
  1. Classic Functional Analysis:
    There has been a noticeable decline in publications focused on classical functional analysis, as the journal increasingly emphasizes applied nonlinear analysis in real-world contexts.
  2. Linear Systems and Equations:
    Research on linear systems and equations has waned, possibly due to the journal's shift towards more complex nonlinear problems that offer richer insights into dynamic behavior.
  3. Traditional Numerical Methods:
    Studies centered on traditional numerical methods for solving PDEs have decreased, as there is a growing trend towards innovative and adaptive numerical techniques that better accommodate nonlinearities.
  4. Static Mathematical Models:
    The journal appears to be moving away from static mathematical modeling approaches, favoring dynamic models that capture time-dependent behaviors and interactions.

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