Computational Intelligence Systems - Impact Factor

International Journal of Computational Intelligence Systems | 2025 Impact Factor: 1.736 | Cite Score:6.8 | SCOPUS Q1

Impact Factor and Journal Rank of International Journal of Computational Intelligence Systems

About: IJCIS publishes original research articles, reviews, and communications in the field of computational intelligence systems. The journal aims to provide a platform for researchers, engineers, and practitioners to disseminate significant advancements and applications in computational intelligence.
Objectives
The primary objectives of the journal are:
Advancing Computational Intelligence: To promote research and development in computational intelligence methodologies and applications.
Exploring Emerging Technologies: To explore new and emerging technologies in computational intelligence and related fields.
Facilitating Interdisciplinary Research: To encourage interdisciplinary research that integrates computational intelligence with other scientific and engineering disciplines.
Disseminating Knowledge: To disseminate innovative research findings and practical applications in computational intelligence systems.
Key Topics Covered
Neural Networks: Theory, algorithms, and applications of artificial neural networks.
Evolutionary Computation: Genetic algorithms, evolutionary strategies, and evolutionary programming.
Fuzzy Systems: Fuzzy logic, fuzzy sets theory, and fuzzy systems applications.
Machine Learning: Algorithms and methodologies in machine learning, including deep learning.
Swarm Intelligence: Particle swarm optimization, ant colony optimization, and other swarm-based approaches.
Computational Neuroscience: Computational models of neural systems and brain-inspired computing.
Hybrid Intelligent Systems: Integration of multiple computational intelligence techniques.
Applications: Practical applications of computational intelligence in various domains such as robotics, control systems, finance, healthcare, and more.
Impact and Significance
The International Journal of Computational Intelligence Systems contributes significantly to:
Advancing Research: By publishing cutting-edge research that pushes the boundaries of computational intelligence.
Practical Applications: By showcasing real-world applications and case studies of computational intelligence systems.
Interdisciplinary Collaboration: By fostering collaboration between researchers and practitioners across different fields.
Educational Resources: By providing valuable insights and resources for educators and students in computational intelligence and related areas.

Journal Home: Journal Homepage

Editor-in-Chief: Luis MartÃnez Lopez

Scope: International Journal of Computational Intelligence Systems is a prestigious publication dedicated to the dissemination of high-quality research in the field of computational intelligence. It provides a platform for researchers and practitioners to share innovative ideas, methodologies, and applications of computational intelligence techniques.
International Journal of Computational Intelligence Systems publishes innovative research contributions in the following areas:
Neural Networks: Theoretical and applied research on neural network models, architectures, algorithms, and applications.
Fuzzy Systems: Advances in fuzzy logic, fuzzy set theory, and their applications in various domains such as control, decision-making, and pattern recognition.
Evolutionary Computation: Research on genetic algorithms, genetic programming, evolutionary strategies, and other nature-inspired optimization techniques.
Swarm Intelligence: Studies on particle swarm optimization, ant colony optimization, and other swarm-based methods for solving complex problems.
Machine Learning: Development and application of machine learning algorithms and models, including supervised, unsupervised, and reinforcement learning.
Hybrid Systems: Integration of multiple computational intelligence techniques to address complex real-world problems effectively.
Applications: Practical applications of computational intelligence in areas such as robotics, bioinformatics, healthcare, finance, and engineering.