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Intelligent Automation and Soft Computing | 2025 Impact Factor:0.375 | Cite Score:7.7 | SCOPUS Q3

Intelligent Automation and Soft Computing Journal

Impact Factor and Journal Rank of Intelligent Automation and Soft Computing

  • About: Intelligent Automation and Soft Computing, published by Taylor & Francis, is an interdisciplinary journal dedicated to the fusion of intelligent automation and soft computing techniques. The journal aims to advance the theory and practice of automation and computational intelligence by publishing high-quality research that addresses the following key areas:
  • Intelligent Control Systems: Development and application of intelligent control methodologies, including adaptive, fuzzy, and neural network-based control systems.
  • Soft Computing Techniques: Research on the use of soft computing methods such as fuzzy logic, neural networks, genetic algorithms, and hybrid systems for solving complex problems in automation and control.
  • Robotics and Automation: Innovations in robotic systems, automation technologies, and their applications in various industrial and service sectors.
  • Machine Learning and AI: Studies on the integration of machine learning and artificial intelligence techniques in automation systems for improved decision-making and performance.
  • Optimization Methods: Research on optimization algorithms and their application in the design, analysis, and operation of intelligent systems.
  • Human-Machine Interaction: Exploration of advanced human-machine interfaces and interaction techniques to enhance the usability and functionality of automated systems.
  • Cyber-Physical Systems: Investigation of cyber-physical systems that integrate computation, networking, and physical processes for intelligent automation.
  • Application Domains: Practical applications of intelligent automation and soft computing in areas such as manufacturing, healthcare, transportation, energy, and environment.
  • Publication Types:
    Intelligent Automation and Soft Computing publishes a variety of article types to cater to the diverse needs of its readership:
  • Research Articles: Original research contributions presenting significant new findings, methodologies, or theoretical advancements in the field of intelligent automation and soft computing.
  • Review Articles: Comprehensive reviews that summarize the current state of knowledge in specific areas and identify future research directions.
  • Case Studies: Detailed accounts of practical implementations and applications in real-world scenarios, highlighting the benefits and challenges of adopting intelligent automation and soft computing techniques.
  • Technical Notes: Short communications that report on preliminary findings, new techniques, or emerging trends in the field.
  • Impact and Contribution:
    Intelligent Automation and Soft Computing plays a pivotal role in bridging the gap between theory and practice in the fields of automation and computational intelligence. By publishing rigorous research and fostering interdisciplinary collaboration, the journal contributes to the development of innovative solutions and strategies that enhance the efficiency, reliability, and intelligence of automated systems. It serves as a valuable resource for researchers, practitioners, and educators in the field.

  • Editor-in-Chief:  Prof. Syoji Kobashi

  • Scope: The Intelligent Automation and Soft Computing journal provides an international forum for high-quality original research in the fields of intelligent automation and soft computing. It covers a wide range of topics, including but not limited to the following areas:
  • Artificial intelligence and machine learning
  • Fuzzy systems and fuzzy logic
  • Neural networks and deep learning
  • Evolutionary computation and genetic algorithms
  • Hybrid intelligent systems
  • Robotics and autonomous systems
  • Control systems and automation
  • Intelligent manufacturing systems
  • Intelligent transportation systems
  • Intelligent data analysis and data mining
  • Computational intelligence in bioinformatics
  • Soft computing in signal processing and multimedia
  • Latest Research Topics for PhD in Machine Learning
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  • Latest Research Topics for PhD in Artificial Intelligence
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  • Latest Research Topics for PhD in Data Mining

  • Print ISSN:  1079-8587

    Electronic ISSN:   2326-005X

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2025:  0.375

  • Subject Area and Category:   Computer Science, Artificial Intelligence, Computational Theory and Mathematics, Software, Mathematics, Theoretical Computer Science

  • Publication Frequency:  Monthly

  • H Index:  45

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Artificial Intelligence Computational Theory

    Q4:  

  • Cite Score:  7.7

  • SNIP:  0.605

  • Journal Rank(SJR):  0.375