Complex Systems Journal Impact Factor

Complex Systems | 2024 Cite Score:0.8 | Q4

Cite Score and Journal Rank of Complex Systems

About: Complex Systems is a peer-reviewed academic journal that focuses on the study and understanding of complex systems across a wide range of scientific disciplines. The journal provides a platform for research that explores the behavior, dynamics, and underlying principles of systems composed of multiple interacting components, which exhibit emergent and often unpredictable properties.
Objective: The primary objective of the Complex Systems journal is to advance the theoretical and practical understanding of complex systems. The journal covers a diverse array of topics, including nonlinear dynamics, network theory, chaos theory, self-organization, and computational models. It aims to publish research that provides new insights into how complex systems function, evolve, and respond to various influences, with applications spanning fields such as physics, biology, economics, and social sciences.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach, integrating research from fields such as mathematics, computer science, physics, biology, economics, and engineering. This approach enables a comprehensive exploration of complex systems, considering both the mathematical and computational frameworks as well as real-world applications. Contributions that bridge these disciplines and offer new perspectives on the analysis and modeling of complex systems are particularly encouraged.
Impact and Significance: The Complex Systems journal has a significant impact on both academic and professional communities engaged in the study of systems characterized by intricate interactions and emergent behaviors. The research published in the journal contributes to the advancement of methods and theories for analyzing and understanding complex systems, providing valuable tools and frameworks for addressing challenges in areas such as ecosystem management, financial markets, urban planning, and technological networks. It serves as a key resource for researchers, scientists, and practitioners who are focused on unraveling the complexities of natural and artificial systems.

Journal Home: Journal Homepage

Editor-in-Chief: Andrew Adamatzky

Scope: The Complex Systems journal focuses on the study of systems with intricate, dynamic interactions between their components, where these interactions often lead to emergent behaviors not predictable from the properties of the individual parts. The journal serves as a platform for interdisciplinary research, integrating ideas from various fields such as physics, mathematics, biology, economics, computer science, and social sciences to explore the principles and applications of complex systems. Key topics covered by the journal include:
1. Nonlinear Dynamics and Chaos: Research on systems governed by nonlinear dynamics, where small changes in initial conditions can lead to significant differences in outcomes, often resulting in chaotic behavior.
2. Emergent Behavior: Studies on how large-scale, complex behaviors arise from simple interactions among components of a system, such as flocking in birds or traffic patterns.
3. Network Theory: Exploration of complex networks, including social networks, biological networks, and technological networks, with a focus on their structure, dynamics, and function.
4. Cellular Automata: Research on the use of cellular automata models to simulate and analyze complex systems, including their application in modeling natural phenomena and computational processes.
5. Self-Organization: Studies on the processes by which systems spontaneously organize themselves without external direction, such as the formation of patterns in nature or the development of organizational structures in societies.
6. Computational Modeling: Development and application of computational models to simulate and understand complex systems, including agent-based models, multi-scale modeling, and Monte Carlo simulations.
7. Complex Adaptive Systems: Exploration of systems that adapt and evolve in response to changes in their environment, such as ecosystems, economies, and learning algorithms.
8. Information Theory and Complexity: Research on the role of information in complex systems, including how information is processed, stored, and transmitted, as well as measures of system complexity.
9. Econophysics and Sociophysics: Application of concepts and methods from physics to study economic and social systems, including market dynamics, wealth distribution, and collective social behavior.
10. Biological Complexity: Studies on the complex interactions within biological systems, such as gene regulatory networks, protein interactions, and ecological systems.
11. Evolutionary Computation: Research on algorithms inspired by natural evolutionary processes, including genetic algorithms, genetic programming, and evolutionary strategies, and their application to solving complex problems.
12. Systems Biology: Exploration of the complex interactions that define biological systems, using a holistic approach to understand the relationships between the components of living organisms.