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Machine Intelligence Research - 2025 Impact Factor:10.0 | Cite Score: 17.8 | Q1

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Machine Intelligence Research - 2025 Impact Factor:10.0 | Cite Score: 17.8 | Q1

  • About this Journal:
  • Machine Intelligence Research (MIR) is a peer-reviewed international journal publishing high-quality research in artificial intelligence, machine learning, and intelligent systems.Machine Intelligence Research (original title: International Journal of Automation and Computing) is published by Springer and sponsored by the Institute of Automation, Chinese Academy of Sciences. The journal publishes high-quality papers on original theoretical and experimental research, targets special issues on emerging topics, and strives to bridge the gap between theoretical research and practical applications. Topics of Machine Intelligence Research include: AI Fundamentals, Brain-Inspired Intelligence, Pattern Recognition & Machine Learning, Machine Vision, Speech and Language Processing, Embodied Intelligence and Robotics
  • The journal focuses on foundational theories, novel algorithms, innovative methodologies, and real-world applications of machine intelligence.
  • It serves as a platform for researchers, engineers, and practitioners working in AI, robotics, data science, automation, and computational intelligence.
  • The journal aims to promote cutting-edge developments in both theoretical and applied AI, encouraging interdisciplinary collaboration.

  • Editor-in-Chief:  Tieniu Tan

  • Scope of the Journal:
  • Machine learning theory, algorithms, deep learning, and neural network architectures.
  • Computer vision, pattern recognition, image processing, and visual intelligence.
  • Natural language processing, speech recognition, and multimodal intelligence.
  • Knowledge representation, reasoning, and automated decision-making.
  • Robotics, intelligent control, autonomous systems, and human–machine interaction.
  • Evolutionary computation, swarm intelligence, fuzzy systems, and computational optimization.
  • AI applications in healthcare, security, transportation, smart cities, and industrial automation.
  • Emerging topics such as trustworthy AI, explainability, reinforcement learning, and large-scale AI systems.
  • Latest Research Topics for PhD in Computer Science
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  • Latest Research Topics for PhD in Machine Learning
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  • Latest Research Topics for PhD in Artificial Intelligence
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  • Print ISSN:  2731538X

    Electronic ISSN:  27315398

  • Abstracting and Indexing:  ESCI, Scopus

  • Imapct Factor 2025:  10.0

  • Subject Area and Category:  Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Computer Vision and Pattern Recognition, Signal Processing

  • Publication Frequency:  

  • H Index:  60

  • Best Quartile:

    Q1:  Artificial Intelligence

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  17.8

  • SNIP:  3.072

  • Journal Rank(SJR):  1.894