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International Journal of Computational Intelligence and Applications - World Scientific | 2025 Impact Factor:1.6 | Cite Score:4.1 | SCOPUS Q3

International Journal of Computational Intelligence and Applications With Cite Score

Cite Score and Journal Rank of International Journal of Computational Intelligence and Applications

  • About: The International Journal of Computational Intelligence and Applications (IJCIA) is a peer-reviewed journal dedicated to the field of computational intelligence. It focuses on the development and application of computational methods and techniques for solving complex problems in various domains. The journal covers a broad range of topics including artificial intelligence, machine learning, fuzzy systems, neural networks, evolutionary computation, and data mining. IJCIA aims to provide a platform for innovative research and practical applications in computational intelligence.
  • Objective:
    The primary objective of IJCIA is to advance the knowledge and application of computational intelligence techniques. The journal seeks to offer a comprehensive resource for researchers, practitioners, and developers to explore new methodologies, technologies, and applications in computational intelligence. IJCIA aims to support the development of effective computational models and solutions that address complex real-world problems and contribute to technological advancement in the field.
  • Interdisciplinary Approach:
    IJCIA adopts an interdisciplinary approach by encouraging contributions from various related fields such as computer science, mathematics, engineering, cognitive science, and information systems. This approach ensures a broad exploration of computational intelligence topics, integrating different perspectives and methodologies. By promoting interdisciplinary research, the journal addresses complex challenges and fosters the development of comprehensive solutions that enhance computational intelligence applications.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in the field of computational intelligence. It is widely cited by researchers, industry professionals, and technology developers interested in the latest advancements and innovations in computational methods and techniques. The research published in IJCIA contributes to the advancement of new technologies, models, and applications that improve the effectiveness and efficiency of computational intelligence systems. The journal serves as a valuable resource for those involved in the design, development, and implementation of computational intelligence solutions.
  • Significance:
    The International Journal of Computational Intelligence and Applications plays a crucial role in advancing the study and application of computational intelligence by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative computational models and solutions that address current and emerging challenges in the field. The journals commitment to excellence and its interdisciplinary focus make it an essential resource for researchers, practitioners, and developers involved in the field of computational intelligence. Through its rigorous scholarship and broad coverage, IJCIA helps shape the future of computational intelligence and its applications.

  • Editor-in-Chief:  Brijesh Verma

  • Scope: The International Journal of Computational Intelligence and Applications focuses on research in computational intelligence and its various applications. Its scope includes, but is not limited to:
  • Computational Intelligence Techniques: Research on techniques such as neural networks, fuzzy systems, evolutionary algorithms, and hybrid methods that are part of computational intelligence.
  • Machine Learning and Data Mining: Studies on machine learning algorithms, data mining techniques, and their applications in pattern recognition, prediction, and decision-making.
  • Artificial Intelligence: Exploration of AI methods and technologies, including knowledge representation, reasoning, planning, and intelligent agents.
  • Optimization Algorithms: Research on optimization techniques including genetic algorithms, simulated annealing, particle swarm optimization, and their applications in various fields.
  • Neural Networks: Studies on neural network architectures, training methods, and their applications in areas such as image and speech recognition.
  • Fuzzy Systems: Exploration of fuzzy logic systems, fuzzy control, and fuzzy decision-making methods.
  • Evolutionary Computation: Research on evolutionary algorithms including genetic algorithms, genetic programming, and evolutionary strategies.
  • Hybrid Intelligent Systems: Studies on systems that combine multiple computational intelligence techniques to solve complex problems.
  • Intelligent Systems and Applications: Research on the application of computational intelligence methods in various domains such as robotics, finance, healthcare, and manufacturing.
  • Soft Computing: Exploration of soft computing techniques and their applications, including approximate reasoning, uncertainty handling, and learning algorithms.
  • Bioinformatics and Computational Biology: Research on the use of computational intelligence in bioinformatics, computational biology, and the analysis of biological data.
  • Computational Neuroscience: Studies on computational models of neural systems and their applications in understanding brain functions and neurological disorders.
  • Data Science and Analytics: Research on data science methodologies, including statistical analysis, big data analytics, and predictive modeling using computational intelligence techniques.
  • Intelligent Control Systems: Exploration of intelligent control methods using computational intelligence techniques for system control and automation.
  • Latest Research Topics for PhD in Machine Learning
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  • Print ISSN:  14690268

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2025:  1.6

  • Subject Area and Category:   Computer Science, Computer Science Applications, Software, Mathematics, Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  28

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Science Applications

    Q4:  

  • Cite Score:  4.1

  • SNIP:  0.602

  • Journal Rank(SJR):  0.330