This interdisciplinary journal publishes original research and reviews on the science of complex systems. It covers topics including nonlinear dynamics, network theory, agent-based modeling, and pattern formation. With a focus on understanding emergent behavior in diverse systems, from physical and biological to social and technological, it offers a platform for researchers to explore the underlying principles of complexity. It focuses on mathematical modeling, differential equations, and dynamical systems. It provides insights to both students and professional researchers.
Key areas of focus include chaos theory, self-organization, and the application of complexity science to real-world problems. The journal is indexed in databases like Scopus and Web of Science. Its readership includes scientists, engineers, and researchers in various fields seeking interdisciplinary perspectives on complex systems.
Complexity plays a significant role in driving innovation across diverse fields by providing a forum for sharing novel approaches to understanding and managing complex systems. Submit your research to contribute to this interdisciplinary field. Consider open access options to increase accessibility and impact.