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International Journal of Intelligent Systems - Hindawi | 2024 Impact Factor:3.7 | Cite Score:13.9 | Q1

International Journal of Intelligent Systems - John Wiley & Sons - Impact Factor

Impact Factor and Journal Rank of International Journal of Intelligent Systems

  • About: The International Journal of Intelligent Systems is a reputable academic publication dedicated to advancing research and applications in the field of intelligent systems. Published by Wiley, it serves as a prominent platform for disseminating high-quality research on various aspects of intelligent systems, including theory, algorithms, methodologies, applications, and interdisciplinary studies.
  • Content Types: Original research papers presenting novel methodologies, theoretical advancements, empirical studies, and practical applications in the field of intelligent systems. Comprehensive reviews and surveys that summarize the state-of-the-art, identify key trends, and provide insights into future research directions in intelligent systems.
  • High Standards and Impact: The journal maintains high editorial standards and rigorously evaluates submissions through a peer-review process, ensuring the publication of high-quality and impactful research. It is widely recognized and respected in the field of intelligent systems, with articles frequently cited by researchers and practitioners worldwide.
  • Global Reach: The "International Journal of Intelligent Systems" attracts contributions from researchers and practitioners around the globe, fostering a diverse and inclusive exchange of ideas and innovations.
  • Significance: It is a premier academic journal that significantly contributes to the advancement of knowledge and practice in the field of intelligent systems. Its broad scope, high standards, and global reach make it an indispensable resource for researchers, practitioners, policymakers, and educators interested in the latest developments and trends in intelligent systems theory, algorithms, and applications.

  • Editor-in-Chief:  Jin Li

  • Scope: The journal scope encompasses both theoretical and practical research, focusing on the development, implementation, and evaluation of intelligent systems.
  • Key areas covered by the journal include, but are not limited to:
  • Artificial Intelligence (AI): Research on various AI techniques and algorithms, including machine learning, neural networks, evolutionary computing, and expert systems.
  • Autonomous Systems: Studies on the design and development of autonomous systems, including robotics, unmanned vehicles, and intelligent agents.
  • Cognitive Computing: Research on systems that simulate human thought processes, including perception, reasoning, learning, and decision-making.
  • Data Mining and Knowledge Discovery: Advances in data mining techniques and knowledge discovery processes, including pattern recognition, clustering, classification, and association rule mining.
  • Fuzzy Systems and Soft Computing: Studies on fuzzy logic, fuzzy systems, and other soft computing techniques for dealing with uncertainty and imprecision in intelligent systems.
  • Intelligent Control Systems: Research on the application of intelligent techniques in control systems, including adaptive control, predictive control, and robust control.
  • Natural Language Processing (NLP): Advances in the field of NLP, including language understanding, language generation, sentiment analysis, and machine translation.
  • Pattern Recognition and Image Processing: Research on pattern recognition, image processing, computer vision, and related fields, including face recognition, object detection, and image segmentation.
  • Reasoning and Inference: Studies on logical reasoning, probabilistic reasoning, and other inference techniques used in intelligent systems.
  • Intelligent Decision Support Systems: Research on decision support systems that utilize intelligent techniques to assist in decision-making processes.
  • Latest Research Topics for PhD in Machine Learning
  • Latest Research Topics for PhD in Artificial Intelligence
  • Latest Research Topics for PhD in Data Mining

  • Print ISSN:   0884-8173

    Electronic ISSN:  1098-111X

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

  • Imapct Factor 2024:  3.7

  • Subject Area and Category:  Computer Sciences, Mathematics

  • Publication Frequency:  Monthly

  • H Index:  117

  • Best Quartile:

    Q1:  Artificial Intelligence

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  13.9

  • SNIP:  1.400

  • Journal Rank(SJR):  1.141