IEEE Transactions on Cybernetics

Aims & Scope

The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics.

Specifically, the transactions welcomes papers on communication and control across machines or machine, human, and organizations.

The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	10.5
2024	9.40

SJR (SCImago Journal Rank)

Year	Value
2024	4.450

Quartile

Year	Value
2024	Q1

Journal Rank

Year	Value
2024	354

h-index

Year	Value
2024	208

Journal Citation Indicator

Year	Value
2024	31927

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints

  Citation: 1145

  Authors: Wei, Yuhao, Zhao

• An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

  Citation: 1050

  Authors: Lei, Qing-Long, Xiaohua, Xian-Ming

• Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

  Citation: 1030

  Authors: Zhaohui, Ping, Dongwei, Wei, Rongguang, Qinghua, Wangmeng

• Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach

  Citation: 1025

  Authors: Bing, Mengjie, Will N.

• Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

  Citation: 990

  Authors: Jamie

• A Competitive Swarm Optimizer for Large Scale Optimization

  Citation: 913

  Authors:

• Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

  Citation: 856

  Authors: Thanh Thi, Ngoc Duy, Saeid

• EmotionMeter: A Multimodal Framework for Recognizing Human Emotions

  Citation: 853

  Authors: Wei-Long, Wei, Yifei, Bao-Liang, Andrzej

• Semi-Supervised and Unsupervised Extreme Learning Machines

  Citation: 680

  Authors: Jatinder N. D.

• Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy

  Citation: 673

  Authors: Wenfeng, Lu, Gang

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