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IEEE Transactions on Automatic Control | 2024 Impact Factor:7 | Cite Score:12.0 | Q1

IEEE Transactions on Automatic Control Journal

Impact Factor and Journal Rank of IEEE Transactions on Automatic Control

  • About: IEEE Transactions on Automatic Control is a peer-reviewed journal published by the Institute of Electrical and Electronics Engineers (IEEE). It focuses on the theory, design, and applications of automatic control systems. The journal provides a platform for researchers, engineers, and practitioners to publish original research articles, review papers, and technical notes in the field of automatic control.
  • Objective: The primary objective of IEEE Transactions on Automatic Control is to promote the dissemination of cutting-edge research and developments in automatic control theory and applications. The journal aims to advance the understanding and application of control systems across various domains, including but not limited to engineering, science, and technology. By publishing high-quality research, the journal contributes to the advancement of theory and practice in automatic control.
  • Interdisciplinary Focus: IEEE Transactions on Automatic Control embraces an interdisciplinary approach, welcoming contributions from various fields related to automatic control, including but not limited to, Control Theory, Systems Theory, Optimization, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Chemical Engineering, Biomedical Engineering and Cyber-Physical Systems. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of novel control methodologies and their application to diverse engineering and scientific problems.
  • Global Reach and Impact: With a broad international readership and authorship, IEEE Transactions on Automatic Control has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in automatic control systems worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as automation, robotics, and process control.
  • High Standards and Rigorous Review: Maintaining high academic standards, IEEE Transactions on Automatic Control conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific significance of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: IEEE Transactions on Automatic Control plays a significant role in advancing research and practice in automatic control systems. By providing a platform for state-of-the-art research and developments, the journal contributes to the growth of knowledge and innovation in control theory and applications. It serves as an essential resource for researchers, engineers, and practitioners seeking to stay informed and engaged with the latest advancements in automatic control technologies and methodologies.

  • Editor-in-Chief:  A. Astolfi

  • Scope: The IEEE Transactions on Automatic Control is a premier peer-reviewed journal that focuses on the theory and applications of control systems. It covers a wide range of topics in the field of automatic control and system dynamics. Here is an overview of its key focus areas and scope:
  • 1. Control Theory:
    Research on the theoretical foundations of control systems, including stability analysis, controllability, observability, and system identification.
    Studies on linear and nonlinear control theory, optimal control, robust control, and adaptive control.
  • 2. System Dynamics and Modeling:
    Topics covering the modeling, analysis, and simulation of dynamic systems, including differential equations, state-space representations, and transfer function models.
    Research on modeling techniques for linear and nonlinear systems, time-varying systems, and stochastic systems.
  • 3. Control System Design:
    Advancements in the design and synthesis of control systems for various applications, including aerospace, automotive, industrial processes, and robotics.
    Research on controller design methodologies, such as PID control, state feedback control, and optimal control techniques.
  • 4. Adaptive and Learning Control:
    Topics covering adaptive control techniques that enable control systems to adjust their parameters and behavior in real-time.
    Research on reinforcement learning, neural network-based control, and model predictive control.
  • 5. Robust and Fault-Tolerant Control:
    Advancements in control strategies that ensure system stability and performance in the presence of uncertainties, disturbances, and faults.
    Research on fault detection and isolation (FDI), fault-tolerant control (FTC), and resilient control.
  • 6. Networked and Distributed Control Systems:
    Topics covering control systems that operate over communication networks, including networked control systems (NCS) and distributed control systems (DCS).
    Research on networked control architectures, communication protocols, and synchronization techniques.
  • 7. Applications of Control Systems:
    Advancements in the application of control systems to various engineering disciplines, including aerospace, automotive, robotics, power systems, and biomedical systems.
    Research on control applications in autonomous vehicles, smart grids, renewable energy systems, and healthcare.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  00189286

    Electronic ISSN:   15582523

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus

  • Imapct Factor 2024:  7

  • Subject Area and Category:  Computer Science,Computer Science Applications Engineering,Control and Systems Engineering ,Mathematics,Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  344

  • Best Quartile:

    Q1:  Computer Science Applications

    Q2:  

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  • Cite Score:  12.0

  • SNIP:  2.586

  • Journal Rank(SJR):  3.804