Academic Journal
Q1IEEE Transactions on Systems
About IEEE Transactions on Systems
IEEE Transactions on Systems is a scholarly journal published by IEEE Advancing Technology for Humanity. SCImago 2025 places it in Q1 with an SJR of 2.806 and an H-index of 196.
Its listed coverage is 1996, 2011, 2013-2026 and its research categories include Computer Science Applications (Q1); Control and Systems Engineering (Q1); Electrical and Electronic Engineering (Q1); Human-Computer Interaction (Q1); Information Systems (Q1); Software (Q1). The 2025 dataset reports 793 documents and 21966 citations across the latest three-year reporting window.
IEEE Transactions on Systems: Advancing Research in Complex System Engineering
IEEE Transactions on Systems is a premier peer-reviewed journal published by the Institute of Electrical and Electronics Engineers (IEEE). It serves as a leading platform for researchers, engineers, and professionals to share cutting-edge developments in systems engineering, systems science, and related interdisciplinary areas. With a strong emphasis on the modeling, analysis, design, and implementation of complex systems, the journal plays a critical role in shaping the future of intelligent and sustainable systems.
What is IEEE Transactions on Systems?
IEEE Transactions on Systems is part of the broader IEEE Transactions series and is typically associated with systems engineering and cybernetics. It often includes high-impact research in areas such as system architecture, automation, optimization, control systems, human-machine interaction, and decision-making processes in dynamic environments. The journal is widely respected for its rigorous peer-review process and its commitment to publishing innovative research with real-world applications.
Key Topics Covered
The journal covers a wide spectrum of topics, including:
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Systems engineering methodologies and tools
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Modeling and simulation of complex systems
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Decision support systems
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System optimization and control
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Human-centric systems and ergonomics
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Intelligent transportation systems
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Healthcare systems engineering
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Robotics and autonomous systems
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Cyber-physical systems and smart infrastructure
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Systems integration and interoperability
These areas reflect the growing importance of systems thinking in addressing multifaceted problems across industries such as healthcare, manufacturing, energy, defense, and transportation.
Why Publish in IEEE Transactions on Systems?
Publishing in IEEE Transactions on Systems provides several benefits:
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High Impact: The journal is indexed in major academic databases like Scopus, Web of Science, and IEEE Xplore, offering high visibility to published work.
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Reputation: IEEE is a globally recognized organization. Articles published in its journals are known for quality, accuracy, and technological relevance.
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Peer-Reviewed Excellence: Submissions undergo thorough peer review, ensuring the highest standards of academic rigor.
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Global Reach: With a vast international readership, authors can engage with a broad scientific and engineering community.
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Interdisciplinary Focus: The journal encourages submissions that bridge different fields, fostering innovation through interdisciplinary research.
Who Should Read or Submit?
This journal is ideal for:
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Academic researchers exploring theoretical advancements in systems science
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Engineers and system architects developing real-world solutions
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PhD students and postdocs working on complex system modeling
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Industry professionals seeking to stay updated on the latest systems research
Whether you are working on autonomous systems, optimizing supply chains, or designing smart cities, IEEE Transactions on Systems offers valuable insights and a respected platform to share your work.
Journal Metrics
Metrics can change by reporting year. Verify time-sensitive values with the publisher or indexing service.
Aims & Scope
Scope of IEEE Transactions on Systems, Man, and Cybernetics
The IEEE Transactions on Systems, Man, and Cybernetics (often abbreviated as IEEE SMC Transactions) is a prestigious peer-reviewed journal published by the IEEE Systems, Man, and Cybernetics Society. Known for its interdisciplinary nature, this journal provides a platform for the dissemination of cutting-edge research at the intersection of systems science, human-machine interaction, and cybernetics.
Core Scope and Objectives
The primary scope of the IEEE Transactions on Systems, Man, and Cybernetics encompasses theoretical and applied research in complex systems, including their analysis, design, modeling, optimization, and decision-making processes. The journal places a strong emphasis on the integration of human and computational systems, and it encourages innovations that contribute to the understanding and enhancement of intelligent systems.
The journal is currently structured into multiple parts to focus on specialized domains, including:
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Systems (Part A)
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Cybernetics (Part B)
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Systems and Humans (Part C)
Each part targets a unique subset of the broader SMC field, enabling readers and researchers to focus on specific aspects while still benefiting from the interdisciplinary overlap.
Key Research Areas
The scope of the journal includes, but is not limited to, the following key areas:
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Systems Engineering and Management
Topics such as systems architecture, systems modeling, simulation, and system-of-systems approaches fall under this domain. Research in this area often contributes to advancements in industrial, environmental, and organizational systems. -
Cybernetics and Computational Intelligence
This includes intelligent control, robotics, neural networks, fuzzy systems, and evolutionary computation. These technologies are core components in developing intelligent autonomous systems. -
Human-Centered Computing
The journal places a strong emphasis on the integration of human factors into system design, usability, and decision-making. Topics such as affective computing, user interface design, human-computer interaction (HCI), and cognitive modeling are essential parts of this scope. -
Machine Learning and Data Analytics
As data-driven decision-making becomes increasingly vital, the journal embraces work related to artificial intelligence, big data analytics, pattern recognition, and deep learning — particularly in their application to real-world systems. -
Cyber-Physical Systems and Intelligent Transportation
This includes smart grid technologies, healthcare systems, and advanced transportation systems, such as autonomous vehicles and intelligent traffic management.
Relevance and Impact
The IEEE Transactions on Systems, Man, and Cybernetics is recognized globally for its high citation rates and rigorous peer-review standards. Researchers, engineers, and academic professionals regularly reference its publications to stay up-to-date with the latest developments in the field.
With the rapid evolution of technologies such as AI, IoT, and human-machine interfaces, the journal continues to be a vital resource in bridging the gap between human understanding and system automation.
Recent Research Articles
Latest publications matched automatically by ISSN.
Interpretable Fuzzy Hyperbolic Networks
Babak Sarani, Mohammad-R. Akbarzadeh-T., A. Akbarzadeh
2026-09 · DOI: 10.1109/tsmc.2026.3690635IEEE Transactions on Systems, Man, and Cybernetics: Systems Publication Information
2026-09 · DOI: 10.1109/tsmc.2026.3719731Hybrid Event-Triggered Control for Sampled-Data-Based Nonlinear Systems via Improved Looped-Functional Method
Kaitian Chen, Huaicheng Yan, Zheng You, Meng Wang et al.
2026-09 · DOI: 10.1109/tsmc.2026.3696884Artificial Intelligence-Empowered Trajectory Tracking Control for Autonomous Vehicles: A Survey on Applications, Frameworks, and Future Trends
Xu Huang, Shaobing Xu, Yueming Cao, Shangyi Li et al.
2026-09 · DOI: 10.1109/tsmc.2026.3699694Together, we are advancing technology
2026-09 · DOI: 10.1109/tsmc.2026.3719745A Distributed Cooperative Search Approach for Multi-UAV Systems in Dynamic Uncertain Environments
Lei Lian, Yadong Zhao, Jie Lian, Dong Wang et al.
2026-09 · DOI: 10.1109/tsmc.2026.3701240Women in Engineering
2026-09 · DOI: 10.1109/tsmc.2026.3719746A Knowledge-Enhanced Multibranch Reinforcement Learning for High-Dimensional Feature Selection
Yangyi Du, Xiaojun Zhou, Chunhua Yang
2026-09 · DOI: 10.1109/tsmc.2026.3691739Homography-Based Visual Servoing of a UAM for Payload Delivery Onto a Dynamic Target
Yanjie Chen, Hongyuan Cai, Yifan Lin, Yuhao Liu et al.
2026-09 · DOI: 10.1109/tsmc.2026.3692983Asynchronous Filtering for Semi-Markov Jump Singular Systems With General Transition Rates via Dynamic Memory Event-Triggered Protocols
Yaxiao Guo, Wenbin Wang, Michael V. Basin, Hao Shen et al.
2026-09 · DOI: 10.1109/tsmc.2026.3703067Terminal-Cloud Collaborative Containment Control Subject to Adversary Attacks
Jing Xu, Jiaxin Ji, Qiyu Sun, Fanbiao Li et al.
2026-09 · DOI: 10.1109/tsmc.2026.3690529Visual-Servoing-Based Adaptive Control for Mobile Robots With Input Saturation and Unknown Depth
Biao Luo, Jialin Xiao, Zhihua Ouyang, Bing-Chuan Wang et al.
2026-09 · DOI: 10.1109/tsmc.2026.3694769Event-Triggered Exponential Synchronization of Delayed Fuzzy Quaternion-Valued Neural Networks by a Comparative Method
Jiyong Hou, Ziye Zhang, Xianghua Wang, Zhen Wang et al.
2026-09 · DOI: 10.1109/tsmc.2026.3701384Redundancy-Aware External Signal Learning for Image Clustering
Zixuan Lin, Guoxu Zhou, Haonan Huang, Zhenhao Huang et al.
2026-09 · DOI: 10.1109/tsmc.2026.3695898Data-Driven MPC for Image-Based Visual Servoing of Redundant Manipulators With Model Uncertainties
Jinfu Tang, Yongji Guan, Long Jin
2026-09 · DOI: 10.1109/tsmc.2026.3694774Table of Contents
2026-09 · DOI: 10.1109/tsmc.2026.3719737Uncertainty-Aware Safety-Critical Control: Design and Application
Keke Huang, Pei Li, Shuo Li, Dehao Wu et al.
2026-09 · DOI: 10.1109/tsmc.2026.3699952Physically Informed Driving Style Recognition for Intelligent Vehicle Assistance
Congcong Bai, Saijun Zhong, Mengdi Chen, Xi Gao et al.
2026-09 · DOI: 10.1109/tsmc.2026.3695708Dual-Branch Transformation Broad Learning for Multiclass Recognition
Tingyun Liu, Licheng Liu, Qiying Feng, C. L. Philip Chen et al.
2026-09 · DOI: 10.1109/tsmc.2026.3693265IEEE Systems, Man, and Cybernetics Society Information
2026-09 · DOI: 10.1109/tsmc.2026.3719733Reviews
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Version History
April 20, 2025 at 2:40 pm
April 20, 2025