INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION

Scope & Guideline

Advancing the Frontiers of Nonlinear Science

Introduction

Explore the comprehensive scope of INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1565-1339
PublisherWALTER DE GRUYTER GMBH
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2000 to 2023
AbbreviationINT J NONLIN SCI NUM / Int. J. Nonlinear Sci. Numer. Simul.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressGENTHINER STRASSE 13, D-10785 BERLIN, GERMANY

Aims and Scopes

The INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION focuses on the intersection of nonlinear sciences and numerical methods, emphasizing the development and application of mathematical models to solve complex, nonlinear problems in various fields. The journal aims to disseminate significant advancements in methodologies, theoretical frameworks, and practical applications.
  1. Nonlinear Differential Equations:
    The journal extensively covers the study of nonlinear differential equations, including fractional-order derivatives, stability analysis, and boundary value problems, providing insights into both theoretical and numerical aspects.
  2. Numerical Methods and Algorithms:
    A key focus area involves the development of innovative numerical techniques and algorithms for solving nonlinear problems, including finite element methods, spectral methods, and computational simulations.
  3. Applications in Engineering and Physics:
    The journal publishes research that applies nonlinear modeling and numerical simulations to real-world problems across various engineering disciplines, including fluid dynamics, control systems, and material science.
  4. Stability and Control Theory:
    Research on stability analysis and control of nonlinear systems, particularly involving fractional dynamics and impulsive effects, is a prominent theme, reflecting the journal's commitment to practical system applications.
  5. Computational Mathematics:
    The journal emphasizes computational approaches and mathematical modeling in nonlinear sciences, with a focus on the application of advanced mathematical techniques to solve complex problems.
The journal's recent publications reflect a shift towards innovative and interdisciplinary themes, showcasing emerging trends in nonlinear sciences and numerical simulations. This section outlines these trending areas that are gaining traction among researchers.
  1. Fractional Calculus and Fractional Differential Equations:
    There is a significant increase in research on fractional calculus, particularly its applications in modeling complex phenomena in engineering and physics, indicating a growing interest in understanding dynamics through fractional derivatives.
  2. Stochastic Modeling and Control:
    Emerging themes in stochastic modeling, particularly in the context of epidemic dynamics and environmental interactions, are becoming more prevalent, highlighting the need for robust models that account for uncertainty and variability.
  3. Hybrid and Intelligent Control Systems:
    The trend towards integrating artificial intelligence and adaptive control strategies into nonlinear systems is on the rise, reflecting advancements in machine learning and optimal control techniques.
  4. Complex Systems and Network Dynamics:
    Research focusing on the dynamics of complex systems, including multi-agent systems and interconnected networks, is gaining popularity, as it addresses the challenges posed by real-world interactions in nonlinear contexts.
  5. Numerical Simulations of Multiphysics Problems:
    There is an increased emphasis on numerical simulations that tackle multiphysics problems, which involve the interplay of various physical phenomena, showcasing the journal's commitment to comprehensive modeling approaches.

Declining or Waning

While the journal has a broad and dynamic scope, certain themes have seen a decline in prominence as new areas of research emerge. This section highlights these waning themes based on recent publication trends.
  1. Classical Linear Dynamics:
    There is a noticeable decline in papers focused solely on classical linear dynamics, as the field shifts towards more complex nonlinear dynamics that incorporate fractional and stochastic elements.
  2. Basic Mathematical Models:
    Research centered around simple mathematical models with limited complexity is less frequently published, as the trend moves towards more sophisticated models that account for real-world complexities and interactions.
  3. Traditional Control Systems:
    Papers addressing conventional control systems without nonlinear or fractional components are becoming less common, indicating a shift towards more advanced control methodologies that incorporate nonlinear dynamics.
  4. Static Analysis:
    The focus on static analyses in engineering applications has diminished, with a growing emphasis on dynamic interactions and time-dependent behaviors in nonlinear systems.

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