DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B

Scope & Guideline

Exploring the Frontiers of Mathematical Dynamics

Introduction

Delve into the academic richness of DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES B 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
ISSN1531-3492
PublisherAMER INST MATHEMATICAL SCIENCES-AIMS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2001 to 2025
AbbreviationDISCRETE CONT DYN-B / Discrete Contin. Dyn. Syst.-Ser. B
Frequency10 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 2604, SPRINGFIELD, MO 65801-2604, UNITED STATES

Aims and Scopes

The journal 'Discrete and Continuous Dynamical Systems - Series B' focuses on the mathematical analysis and modeling of dynamical systems, particularly emphasizing both discrete and continuous aspects. It is dedicated to publishing high-quality research that contributes to a deeper understanding of dynamical behaviors across various applications, including ecological models, epidemic dynamics, and physical phenomena.
  1. Mathematical Modeling of Dynamical Systems:
    The journal emphasizes the development and analysis of mathematical models that describe the behavior of dynamical systems in various fields, including biology, physics, and engineering.
  2. Stability Analysis:
    A core focus is on the stability of solutions to differential equations, including various stability concepts such as Lyapunov stability, asymptotic stability, and stability under perturbations.
  3. Bifurcation Theory:
    The exploration of bifurcations in dynamical systems is a significant area of research, examining how small changes in parameters can lead to qualitative changes in system behavior.
  4. Numerical Methods for Dynamical Systems:
    The journal includes studies on numerical techniques for solving differential equations, with a focus on their accuracy and applicability to real-world problems.
  5. Epidemiological Models:
    Research on mathematical models for disease dynamics, including the analysis of epidemic spread and control strategies, is a prominent theme.
  6. Nonlocal and Fractional Dynamics:
    The journal publishes work on nonlocal and fractional differential equations, reflecting the growing interest in these areas for modeling complex phenomena.
  7. Stochastic Dynamics:
    There is an increasing focus on stochastic methods and their applications in dynamical systems, particularly in relation to biological and ecological modeling.
The journal has seen a notable evolution in its scope, with several emerging themes gaining traction in recent publications. These trends reflect contemporary challenges and advancements in the field of dynamical systems.
  1. Complex Systems and Interactions:
    There is a growing emphasis on modeling complex interactions within systems, particularly in ecological and biological contexts, reflecting the interconnected nature of these systems.
  2. Epidemic Modeling and Public Health:
    Research related to mathematical modeling of infectious diseases, especially in light of recent global health challenges, has become increasingly prominent.
  3. Nonlinear Dynamics:
    A significant trend is the exploration of nonlinear phenomena, including chaos and bifurcations, which are crucial for understanding the behavior of real-world systems.
  4. Stochastic and Random Dynamics:
    The incorporation of stochastic elements into models, particularly in biological systems, is on the rise, highlighting the importance of uncertainty and variability.
  5. Fractional Calculus in Dynamics:
    The application of fractional calculus to dynamical systems is gaining attention, providing new insights into memory effects and complex behaviors.
  6. Adaptive and Control Strategies:
    Research on adaptive control strategies in dynamical systems is emerging, with applications in various fields, including robotics and environmental modeling.

Declining or Waning

While the journal continues to publish a wide range of topics, certain areas of research appear to be declining in frequency or prominence over recent years. This may reflect shifts in researcher interest or advancements in the field that have made some topics less central.
  1. Classical Control Theory:
    Research focusing on traditional control theory methods, which were once prevalent, seems to be waning as more complex systems and adaptive control strategies gain attention.
  2. Linear Stability Analysis:
    There appears to be a decrease in the number of papers dedicated solely to linear stability analysis, as researchers increasingly explore nonlinear dynamics and more complex stability frameworks.
  3. Equilibrium Solutions in Dynamical Systems:
    The focus on finding equilibrium solutions and their stability has diminished, with a shift toward more dynamic and time-dependent behaviors in systems.

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