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IEEE Transactions on Human-Machine Systems
JournalCitation impact & published research
IEEE Transactions on Human-Machine Systems is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 1,671 works, 36,175 citations and an h-index of 90.
1,671
Works
36,175
Citations
90
h-index
IDs:OpenAlex
What are the most-cited papers on IEEE Transactions on Human-Machine Systems?
ScholarIQmost cited works
Decoding Simultaneous Multi-DOF Wrist Movements From Raw EMG Signals Using a Convolutional Neural Network
Wei Yang, Dapeng Yang, Yü Liu, Hong Liu
IEEE Transactions on Human-Machine Systems. 201976 Citations
Smoothness of surgical tool tip motion correlates to skill in endovascular tasks
Sean Estrada, Cassidy Duran, Daryl G. Schulz, Jean Bismuth, Michael D. Byrne, Marcia K. O’Malley
IEEE Transactions on Human-Machine Systems. 201662 Citations
Estimating 3-D Point-of-Regard in a Real Environment Using a Head-Mounted Eye-Tracking System
Kentaro Takemura, Kenji Takahashi, Jun Takamatsu, Tsukasa Ogasawara
IEEE Transactions on Human-Machine Systems. 201457 Citations
Review of Human–Machine Interfaces for Small Unmanned Systems With Robotic Manipulators
Sierra Young, Joshua M. Peschel
IEEE Transactions on Human-Machine Systems. 202051 CitationsOPEN ACCESS
Sensory-Glove-Based Open Surgery Skill Evaluation
Laura Sbernini, Lucia Rita Quitadamo, Francesco Riillo, Nicola Di Lorenzo, Achille Gaspari, Giovanni Saggio
IEEE Transactions on Human-Machine Systems. 201841 CitationsOPEN ACCESS
Related on ScholarIQ
Decoding Simultaneous Multi-DOF Wrist Movements From Raw EMG Signals Using a Convolutional Neural Network
Paper
Smoothness of surgical tool tip motion correlates to skill in endovascular tasks
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Estimating 3-D Point-of-Regard in a Real Environment Using a Head-Mounted Eye-Tracking System
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Review of Human–Machine Interfaces for Small Unmanned Systems With Robotic Manipulators
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Sensory-Glove-Based Open Surgery Skill Evaluation
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Quantitative Physical Ergonomics Assessment of Teleoperation Interfaces
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