Journal of Cellular Automata - Impact Factor

Journal of Cellular Automata - Old City Publishing | 2024 Impact Factor:0.3 | Cite Score:0.3 | Q4

Impact Factor and Journal Rank of Journal of Cellular Automata

About: The Journal of Cellular Automata is a specialized academic publication dedicated to the study and exploration of cellular automata and related computational models. The journal serves as a leading platform for researchers, scientists, and enthusiasts to publish high-quality, peer-reviewed research articles that advance the theoretical foundations, applications, and interdisciplinary connections of cellular automata.
> Objective
> The primary objective of the Journal of Cellular Automata is to promote research excellence and facilitate knowledge exchange in the field of cellular automata. The journal publishes original contributions that span theoretical developments, practical applications, and innovative methodologies in the study of complex systems.
> Scope
> The journal covers a wide range of topics within cellular automata and related computational models, including but not limited to:
> Theoretical Foundations: Fundamental principles, properties, and mathematical models of cellular automata.
Applications: Practical applications in physics, biology, chemistry, computer science, and engineering.
Complex Systems: Emergent behaviors, pattern formation, synchronization, and self-organization.
Computational Methods: Algorithms, simulations, and computational techniques for studying cellular automata.
Interdisciplinary Connections: Connections with fields such as artificial life, network theory, and computational biology.
> Impact
> The Journal of Cellular Automata seeks to make a significant impact by:
> Publishing innovative research that advances the understanding and application of cellular automata.
Facilitating interdisciplinary collaborations that explore new frontiers and applications of cellular automata.
Providing a platform for researchers and practitioners to share insights, methodologies, and computational tools.
Influencing the development of theoretical frameworks and computational models in the study of complex systems.
> Significance
> Cellular automata represent a powerful computational paradigm for modeling and understanding complex systems. From simulating physical processes to exploring biological systems and designing efficient algorithms, cellular automata offer versatile applications across various disciplines. The Journal of Cellular Automata plays a crucial role in advancing this field by promoting rigorous research, fostering interdisciplinary collaborations, and contributing to the theoretical and practical advancements in cellular automata studies.

Journal Home: Journal Homepage

Editor-in-Chief: Andrew Adamatzky

Scope: The Journal of Cellular Automata is a peer-reviewed academic journal that focuses on research related to cellular automata and their applications in various fields. Here is an overview of its scope and the topics typically covered:
> Theoretical Foundations:
Fundamental Properties: Study of basic properties, behaviors, and mathematical foundations of cellular automata.
> Complex Systems: Analysis of complex emergent behaviors and phenomena exhibited by cellular automata.
> Universality and Computability: Investigations into the computational universality and computability aspects of cellular automata.
> Applications:
Physics and Chemistry: Applications of cellular automata models in physical and chemical systems, such as pattern formation and reaction-diffusion processes.
> Biology and Medicine: Modeling biological systems, including biological pattern formation, population dynamics, and disease spread.
> Computer Science: Applications in computer science, such as algorithm design, cryptography, and simulation of parallel computation.
> Engineering and Technology:
Optimization and Control: Use of cellular automata for optimization problems and control applications.
> Robotics and AI: Applications in robotics, swarm intelligence, and artificial life.
> Interdisciplinary Approaches:
Mathematical Modeling: Development and analysis of mathematical models based on cellular automata.
> Simulation and Visualization: Techniques for simulating and visualizing cellular automata behaviors.
> Educational Applications: Use of cellular automata in educational settings to teach computational thinking and complex systems.