IEEE Transactions on Human-Machine Systems

Aims & Scope

The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems.

It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.4

Journal Rank

Year	Value
2024	3941

Journal Citation Indicator

Year	Value
2024	1740

SJR (SCImago Journal Rank)

Year	Value
2024	1.132

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	143

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Social Sciences, 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.

• The GRASP Taxonomy of Human Grasp Types

  Citation: 784

  Authors: Thomas, Javier, Heinz-Bodo, Aaron M., Danica

• Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues

  Citation: 400

  Authors: Jessie Y. C., Michael J.

• Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications

  Citation: 358

  Authors: Giancarlo, Roberta, Raffaele, Philip, Roozbeh

• EEG-Based Brain-Controlled Mobile Robots: A Survey

  Citation: 322

  Authors: Luzheng, Xin-An, Yili

• Human Interaction With Robot Swarms: A Survey

  Citation: 321

  Authors: Andreas, Phillip, Nilanjan, Katia, Michael

• Evaluating Fluency in Human–Robot Collaboration

  Citation: 306

  Authors: Guy

• Human Activity Recognition Process Using 3-D Posture Data

  Citation: 295

  Authors: Salvatore, Giuseppe Lo, Marco

• Human-Machine Interaction Sensing Technology Based on Hand Gesture Recognition: A Review

  Citation: 262

  Authors: Lin, Zongxing, Ligang

• A Hand Gesture Recognition Framework and Wearable Gesture-Based Interaction Prototype for Mobile Devices

  Citation: 252

  Authors: Zhiyuan, Xiang, Qiang, Xu, Ping

• Action Recognition From Depth Maps Using Deep Convolutional Neural Networks

  Citation: 239

  Authors: Pichao, Wanqing, Zhimin, Jing, Chang, Philip O.

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