Dynamical Systems Taylor & Francis Journal Impact Factor

Dynamical Systems - Taylor and Francis | 2024 Cite Score:0.9 | Q3

Dynamical Systems Journal With Cite Score

Cite Score and Journal Rank of Dynamical Systems

About: Dynamical Systems is a peer-reviewed academic journal dedicated to the study of dynamical systems and their applications. The journal publishes research on the theoretical and practical aspects of dynamical systems, covering a wide range of topics within this field.
Objective: The primary objective of Dynamical Systems is to advance the understanding and application of dynamical systems by publishing high-quality research that addresses both theoretical and practical aspects. Topics covered include but are not limited to nonlinear dynamics, chaos theory, bifurcation theory, control of dynamical systems, and applications in various fields such as physics, engineering, biology, and economics. The journal aims to provide a platform for researchers to share their findings and contribute to the development of new theories, methods, and applications in dynamical systems.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various domains where dynamical systems play a crucial role. This includes applications in fields such as biology, economics, engineering, and physics. By bridging multiple disciplines, the journal facilitates a comprehensive exploration of dynamical systems and their impact across different areas of study. Contributions that offer novel insights or methodologies applicable to multiple domains are particularly encouraged.
Impact and Significance: Dynamical Systems has a significant impact on both academic and professional communities involved in the study and application of dynamical systems. The research published in the journal provides valuable contributions by presenting new theoretical developments, methodologies, and applications that address contemporary challenges in the field. It serves as a key resource for researchers, practitioners, and engineers who are engaged in studying and applying dynamical systems in various contexts.

Journal Home: Journal Homepage

Editor-in-Chief: Ale Jan Homburg

Scope: The Dynamical Systems Journal focuses on the study of dynamical systems, which are mathematical models used to describe the behavior of complex systems that evolve over time. The journal covers a wide range of topics related to the theory, application, and analysis of dynamical systems. Its scope includes:
1. Theory of Dynamical Systems: Research on the fundamental principles and mathematical theories underlying dynamical systems, including stability, bifurcations, and chaos theory.
2. Nonlinear Dynamics: Studies on nonlinear dynamical systems, including nonlinear oscillations, chaos, and complex behavior in systems governed by nonlinear equations.
3. Control Theory: Exploration of control strategies for dynamical systems, including feedback control, adaptive control, and optimal control.
4. Systems Modeling: Research on the modeling of dynamical systems in various domains, including engineering, biology, economics, and social sciences.
5. Numerical Analysis and Simulation: Studies on numerical methods for analyzing and simulating dynamical systems, including algorithms for solving differential equations and simulation techniques.
6. Differential Equations: Research on differential equations that describe dynamical systems, including ordinary differential equations (ODEs), partial differential equations (PDEs), and their solutions.
7. Synchronization and Coupling: Exploration of synchronization phenomena and coupling mechanisms in networks of dynamical systems, including synchronization in complex networks and coupled oscillators.
8. Applications of Dynamical Systems: Studies on the application of dynamical systems theory to real-world problems, including applications in physics, engineering, biology, economics, and other fields.
9. Stochastic Dynamical Systems: Research on dynamical systems with random or stochastic components, including stochastic differential equations and noise-induced phenomena.
10. Adaptive Systems: Exploration of adaptive systems that can modify their behavior based on feedback or changing conditions, including adaptive control and learning algorithms.
11. Complex Systems: Studies on complex dynamical systems with many interacting components, including networked systems, complex networks, and emergent phenomena.
12. Pattern Formation: Research on pattern formation in dynamical systems, including spatial and temporal patterns, and the mechanisms that lead to pattern formation.
13. Chaos Theory: Exploration of chaotic behavior in dynamical systems, including chaos theory, attractors, and sensitivity to initial conditions.
14. Systems Identification: Research on techniques for identifying and estimating the parameters of dynamical systems based on observed data.