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IEEE Transactions on Cybernetics | 2025 Impact Factor:11.3 |Cite Score:28.2 | Q1

IEEE Transactions on Cybernetics Journal

Impact Factor and Journal Rank of IEEE Transactions on Cybernetics

  • About: IEEE Transactions on Cybernetics is a prestigious journal published by the IEEE Systems, Man, and Cybernetics Society. It serves as a leading platform for the dissemination of high-quality research in the interdisciplinary field of cybernetics, encompassing systems science, engineering, mathematics, and computational intelligence.
  • Objective: The primary objective of the journal is to publish original research articles, reviews, and tutorials that advance the understanding of cybernetics and its applications across various domains.
  • Interdisciplinary Focus: IEEE Transactions on Cybernetics adopts an interdisciplinary approach, integrating insights from systems science, engineering, mathematics, computer science, biology, and cognitive science. This broad perspective enables the journal to address complex problems and foster collaboration across diverse fields.
  • Content: The journal publishes original research articles that present novel contributions to the theory, methodology, and application of cybernetic principles. It also features review papers that provide comprehensive surveys of specific research areas, as well as tutorials that offer educational resources for students and practitioners.
  • High Standards and Rigorous Review: IEEE Transactions on Cybernetics maintains high standards of quality and rigor through a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field, ensuring that only the highest-quality research is published.
  • Global Reach and Impact: As part of the IEEE Systems, Man, and Cybernetics Society, the journal enjoys a broad international readership and impact. It attracts contributions from leading researchers and institutions worldwide, fostering collaboration and knowledge exchange on a global scale.
  • Educational Resource: IEEE Transactions on Cybernetics serves as an essential resource for researchers, educators, and practitioners in the field of cybernetics. The journals comprehensive coverage of theory, methodologies, and applications provides valuable insights and guidance for both academic and industrial settings.

  • Editor-in-Chief:  Peng Shi

  • Scope: IEEE Transactions on Cybernetics is a scholarly journal dedicated to the interdisciplinary study of systems, humans, and machines, focusing on the dynamic interactions and feedback loops that characterize complex systems.
  • Its scope encompasses a broad range of topics within the field of cybernetics, including:
  • Control Systems: Analysis, design, and optimization of control systems for both linear and nonlinear dynamical systems. This includes topics such as adaptive control, robust control, optimal control, and model predictive control.
  • Biologically Inspired Systems: Study and emulation of biological systems and processes to develop novel computational and engineering solutions. This includes bio-inspired algorithms, neural networks, evolutionary computing, and swarm intelligence.
  • Computational Intelligence: Development and application of computational models and algorithms inspired by biological and natural systems. This includes areas such as artificial neural networks, fuzzy systems, evolutionary computation, and machine learning.
  • Systems Theory: Theoretical foundations and mathematical frameworks for understanding complex systems and their behaviors. This includes topics such as system identification, stability analysis, chaos theory, and complex networks.
  • Human-Machine Interaction: Study of the interaction between humans and machines, including topics such as human factors, human-computer interaction, cognitive modeling, and affective computing.
  • Cyber-Physical Systems: Integration of computational elements with physical processes and systems, including topics such as sensor networks, real-time systems, embedded systems, and Internet of Things (IoT) applications.
  • Robotics and Autonomous Systems: Design, control, and autonomy of robotic systems for various applications, including industrial automation, autonomous vehicles, medical robotics, and human-robot interaction.
  • 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:  2168-2267

    Electronic ISSN:  2168-2275

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

  • Imapct Factor 2025:  11.3

  • Subject Area and Category:  Computer Sciences, Library and Information Science, Electronics and Telecommunications, Industrial Engineering, Mathematics

  • Publication Frequency:  Monthly

  • H Index:  227

  • Best Quartile:

    Q1:  Computer Science Applications

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  28.2

  • SNIP:  2.792

  • Journal Rank(SJR):  3.724