World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
54
Citations
11702
World Ranking
2274
National Ranking
67

Computer Science

D-Index
54
Citations
11066
World Ranking
4594
National Ranking
205

Gordon Cheng publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Gordon Cheng sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 312 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Gordon Cheng D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Gordon Cheng sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions in humanoid robotics systems and neurorobotics

Overview

Gordon Cheng is affiliated with the Technical University of Munich in Germany. Their research spans the intersecting fields of neuroscience and engineering, with a notable contribution to subfields such as cognitive neuroscience, biomedical engineering, cellular and molecular neuroscience, social psychology, and control and systems engineering.

The main topics explored in their work include EEG and brain-computer interfaces, muscle activation and electromyography studies, neural dynamics and brain function, neuroscience and neural engineering, prosthetics and rehabilitation robotics, advanced sensor and energy harvesting materials, and robot manipulation and learning.

Recent publications by Gordon Cheng include:

  • "Nanomesh pressure sensor for monitoring finger manipulation without sensory interference," 2020, Science
  • "Perception and Evaluation in Human-Robot Interaction: The Human-Robot Interaction Evaluation Scale (HRIES)-A Multicomponent Approach of Anthropomorphism," 2021, International Journal of Social Robotics
  • "Inertial Parameter Identification in Robotics: A Survey," 2021, Applied Sciences
  • "An Empirical Study of Active Inference on a Humanoid Robot," 2021, IEEE Transactions on Cognitive and Developmental Systems
  • "Neuroengineering challenges of fusing robotics and neuroscience," 2020, Science Robotics

Frequent co-authors collaborating with Cheng include:

  • J. Rogelio Guadarrama-Olvera
  • Stefan K. Ehrlich
  • Nitish V. Thakor
  • Nicolas Berberich
  • Emmanuel Dean-León

Their published work is commonly featured in venues such as IEEE Robotics and Automation Letters, Scientific Reports, Advanced Intelligent Systems, arXiv (Cornell University), and IEEE Transactions on Medical Robotics and Bionics.

Gordon Cheng has been recognized as an IEEE Fellow since 2017 for contributions in humanoid robotics systems and neurorobotics.

Best Publications

  • Nanomesh pressure sensor for monitoring finger manipulation without sensory interference

    Sunghoon Lee;Sae Franklin;Faezeh Arab Hassani;Tomoyuki Yokota

  • Learning from demonstration and adaptation of biped locomotion

    Jun Nakanishi;Jun Morimoto;Gen Endo;Gordon Cheng

  • Directions Toward Effective Utilization of Tactile Skin: A Review

    Ravinder S. Dahiya;Philipp Mittendorfer;Maurizio Valle;Gordon Cheng

  • Full-Body Compliant Human–Humanoid Interaction: Balancing in the Presence of Unknown External Forces

    Sang-Ho Hyon;J.G. Hale;G. Cheng

  • Humanoid Multimodal Tactile-Sensing Modules

    P Mittendorfer;G Cheng

  • CB: A Humanoid Research Platform for Exploring NeuroScience

    G. Cheng;Sang-Ho Hyon;J. Morimoto;A. Ude

  • Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot

    Gen Endo;Jun Morimoto;Takamitsu Matsubara;Jun Nakanishi

  • Discovering optimal imitation strategies

    Aude Billard;Aude Billard;Yann Epars;Sylvain Calinon;Stefan Schaal

  • ROBOT APPARATUS AND A METHOD FOR CONTROLLING THE POSTURE OF A ROBOT FOR STABILIZING THE POSTURE OF THE ROBOT ACCORDING TO PERIODICAL MOTION

    Cheng Gordon;Endo Gen;Kawato Mitsuo;Morimoto Jun

  • Experimental Studies of a Neural Oscillator for Biped Locomotion with QRIO

    Gen Endo;Jun Nakanishi;Jun Morimoto;G. Cheng

  • New materials and advances in making electronic skin for interactive robots

    Nivasan Yogeswaran;Wenting Dang;William Navaraj;Dhayalan Shakthivel

  • A Comprehensive Realization of Robot Skin: Sensors, Sensing, Control, and Applications

    Gordon Cheng;Emmanuel Dean-Leon;Florian Bergner;Julio Rogelio Guadarrama Olvera

  • Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals

    Zied Tayeb;Juri Fedjaev;Nejla Ghaboosi;Christoph Richter

  • A Biologically Inspired Biped Locomotion Strategy for Humanoid Robots: Modulation of Sinusoidal Patterns by a Coupled Oscillator Model

    J. Morimoto;G. Endo;J. Nakanishi;G. Cheng

  • An empirical exploration of a neural oscillator for biped locomotion control

    G. Endo;J. Morimoto;J. Nakanishi;G. Cheng

  • Learning tasks from observation and practice

    Darrin C. Bentivegna;Christopher G. Atkeson;Gordon Cheng

  • Transferring skills to humanoid robots by extracting semantic representations from observations of human activities

    Karinne Ramirez-Amaro;Michael Beetz;Gordon Cheng

  • A simple reinforcement learning algorithm for biped walking

    J. Morimoto;G. Cheng;C.G. Atkeson;G. Zeglin

  • A review on neural network models of schizophrenia and autism spectrum disorder

    Pablo Lanillos;Daniel Oliva;Anja Philippsen;Yuichi Yamashita

  • Realizing whole-body tactile interactions with a self-organizing, multi-modal artificial skin on a humanoid robot

    Philipp Mittendorfer;Eiichi Yoshida;Gordon Cheng

  • How do we think machines think? An fMRI study of alleged competition with an artificial intelligence

    Thierry Chaminade;Delphine Rosset;David Da Fonseca;Bruno Nazarian

  • Social cognitive neuroscience and humanoid robotics.

    Thierry Chaminade;Gordon Cheng

Frequent Co-Authors

Jun Morimoto
Jun Morimoto Advanced Telecommunications Research Institute International
Gen Endo
Gen Endo Tokyo Institute of Technology
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University
Ales Ude
Ales Ude Jožef Stefan Institute
Michael Beetz
Michael Beetz University of Bremen
Yasuo Kuniyoshi
Yasuo Kuniyoshi University of Tokyo
Alexander Zelinsky
Alexander Zelinsky University of Newcastle Australia
Agnieszka Wykowska
Agnieszka Wykowska Italian Institute of Technology
Stefan Schaal
Stefan Schaal Google (United States)
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International

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Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related online degrees can open up diverse career pathways. Many professionals find that combining technical expertise with management skills enhances their prospects. For example, pursuing a accelerated project management degree allows you to fast-track your education while developing key leadership abilities.

Working adults often benefit from accelerated degree programs for working adults, which offer flexible schedules and practical coursework tailored to busy lifestyles. Such programs help you balance work, study, and personal commitments efficiently.

If you prefer structured education, a bachelor's degree in project management can complement your engineering foundation, preparing you for roles that require overseeing complex technical projects from start to finish.

Additionally, if you identify as an introvert, it’s encouraging to know that the field offers many opportunities suited to your strengths. Check out the best jobs for introverts to find roles where your analytical skills and independent work style are highly valued.

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