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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
99
Citations
42544
World Ranking
190
National Ranking
93

Computer Science

D-Index
102
Citations
46429
World Ranking
336
National Ranking
183

Stefan Schaal 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 Stefan Schaal 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: 335 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Stefan Schaal 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 Stefan Schaal 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: 99 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2014 - IEEE Fellow For contributions to robot learning and modular motion planning

Overview

Stefan Schaal is affiliated with Google in the United States and works primarily in the fields of Computer Science, Engineering, and Neuroscience. Their research integrates subfields such as Cognitive Neuroscience, Control and Systems Engineering, and Artificial Intelligence.

Their work spans several main topics, notably:

  • Robot Manipulation and Learning
  • Motor Control and Adaptation
  • EEG and Brain-Computer Interfaces
  • Neural and Behavioral Psychology Studies
  • Reinforcement Learning in Robotics
  • Machine Learning and Algorithms
  • Robotics and Sensor-Based Localization

Recent publications by Stefan Schaal include the following:

  • Action planning and control under uncertainty emerge through a desirability-driven competition between parallel encoding motor plans, 2021, PLoS Computational Biology
  • Detection and Physical Interaction with Deformable Linear Objects, 2022, arXiv (Cornell University)
  • Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills, 2020, Springer proceedings in advanced robotics
  • An Interior Point Method Solving Motion Planning Problems with Narrow Passages, 2020, arXiv (Cornell University)

The frequent coauthors collaborating with Schaal include:

  • Vince Enachescu
  • Paul Schrater
  • Vassilios Christopoulos
  • Ryan Julian
  • Eric Heiden

Stefan Schaal's research has been disseminated in several publication venues, primarily:

  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Springer proceedings in advanced robotics

The scientist has received recognition in the form of the IEEE Fellow award in 2014 for contributions to robot learning and modular motion planning.

Best Publications

  • Locally Weighted Learning

    Christopher G. Atkeson;Andrew W. Moore;Stefan Schaal

  • Is imitation learning the route to humanoid robots

    Stefan Schaal

  • Dynamical movement primitives: Learning attractor models for motor behaviors

    Auke Jan Ijspeert;Jun Nakanishi;Heiko Hoffmann;Peter Pastor

  • 2008 Special Issue: Reinforcement learning of motor skills with policy gradients

    Jan Peters;Stefan Schaal

  • Natural actor-critic

    Jan Peters;Sethu Vijayakumar;Stefan Schaal

  • Natural Actor-Critic

    Jan Peters;Stefan Schaal

  • Movement imitation with nonlinear dynamical systems in humanoid robots

    A.J. Ijspeert;J. Nakanishi;S. Schaal

  • STOMP: Stochastic trajectory optimization for motion planning

    Mrinal Kalakrishnan;Sachin Chitta;Evangelos Theodorou;Peter Pastor

  • Robot Programming by Demonstration

    Unknown

  • Learning and generalization of motor skills by learning from demonstration

    Peter Pastor;Heiko Hoffmann;Tamim Asfour;Stefan Schaal

  • Locally weighted learning for control

    Christopher G. Atkeson;Andrew W. Moore;Stefan Schaal

  • Learning Attractor Landscapes for Learning Motor Primitives

    Auke J. Ijspeert;Jun Nakanishi;Stefan Schaal

  • Computational approaches to motor learning by imitation

    Stefan Schaal;Auke Ijspeert;Aude Billard;Aude Billard

  • Robot Learning From Demonstration

    Christopher G. Atkeson;Stefan Schaal

  • Constructive incremental learning from only local information

    Stefan Schaal;Christopher G. Atkeson

  • Dynamic Movement Primitives -A Framework for Motor Control in Humans and Humanoid Robotics

    Stefan Schaal

  • Policy Gradient Methods for Robotics

    J. Peters;S. Schaal

  • Incremental Online Learning in High Dimensions

    Sethu Vijayakumar;Aaron D'souza;Stefan Schaal

  • A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Learning from Demonstration

    Stefan Schaal

  • Time-Contrastive Networks: Self-Supervised Learning from Video

    Pierre Sermanet;Corey Lynch;Yevgen Chebotar;Jasmine Hsu

  • Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos A. Theodorou;Jonas Buchli;Stefan Schaal;Daniel Lee

Frequent Co-Authors

Ludovic Righetti
Ludovic Righetti New York University
Sethu Vijayakumar
Sethu Vijayakumar University of Edinburgh
Jan Peters
Jan Peters Technical University of Darmstadt
Jonas Buchli
Jonas Buchli DeepMind (United Kingdom)
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Jeannette Bohg
Jeannette Bohg Stanford University
Evangelos A. Theodorou
Evangelos A. Theodorou Georgia Institute of Technology
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University
Freek Stulp
Freek Stulp German Aerospace Center

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Related Online Degrees & Career Pathways

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Another emerging trend is competency-based education. A competency based masters degree focuses on mastering specific skills and knowledge areas, offering a flexible path for those looking to deepen expertise in targeted aspects of engineering or management.

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