World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
12852
World Ranking
1961
National Ranking
99

Jonas Buchli 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 Jonas Buchli 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: 148 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Jonas Buchli 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 Jonas Buchli 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: 57 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Jonas Buchli is affiliated with DeepMind in the United Kingdom. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence. Within this domain, their work extensively covers Reinforcement Learning in Robotics and Magnetic Confinement Fusion Research. Additional areas of study include Nuclear and High Energy Physics, Molecular Biology, Building and Construction, and Computational Theory and Mathematics.

They have contributed to diverse topics in their research, including:

  • Reinforcement Learning in Robotics
  • Magnetic confinement fusion research
  • Viral Infectious Diseases and Gene Expression in Insects
  • Topic Modeling
  • Innovations in Concrete and Construction Materials
  • Additive Manufacturing and 3D Printing Technologies
  • BIM and Construction Integration

Their recent publications demonstrate involvement in both applied and theoretical research. Notable papers include:

  • "Magnetic control of tokamak plasmas through deep reinforcement learning," 2022, published in Nature
  • "Structural stay-in-place formwork for robotic in situ fabrication of non-standard concrete structures: A real scale architectural demonstrator," 2020, published in Automation in Construction
  • "Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics," 2020, published in arXiv (Cornell University)
  • "Shaking the foundations: delusions in sequence models for interaction and control," 2021, published in arXiv (Cornell University)

Publication venues where their work frequently appears include:

  • arXiv (Cornell University)
  • Nature
  • Automation in Construction
  • Nuclear Fusion
  • Fusion Engineering and Design

Jonas Buchli has collaborated regularly with several researchers, indicating ongoing partnerships in their projects. Frequent co-authors are:

  • Martin Riedmiller
  • Abbas Abdolmaleki
  • Jonas Degrave
  • Michael Neunert
  • Craig Donner

Best Publications

  • Digital Concrete: Opportunities and Challenges

    Timothy Wangler;Ena Lloret;Lex Reiter;Norman Hack

  • 2011 IEEE International Conference on Robotics and Automation

    L. Righetti;J. Buchli;Michael Mistry;S. Schaal

  • A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization

    Alexander W. Winkler;C. Dario Bellicoso;Marco Hutter;Jonas Buchli

  • Dynamic hebbian learning in adaptive frequency oscillators

    Ludovic Righetti;Jonas Buchli;Auke Jan Ijspeert

  • Learning, planning, and control for quadruped locomotion over challenging terrain

    Mrinal Kalakrishnan;Jonas Buchli;Peter Pastor;Michael Mistry

  • Reinforcement learning of motor skills in high dimensions: A path integral approach

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Inverse dynamics control of floating base systems using orthogonal decomposition

    Michael Mistry;Jonas Buchli;Stefan Schaal

  • Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds

    Michael Neunert;Markus Stauble;Markus Giftthaler;Carmine D. Bellicoso

  • Learning variable impedance control

    Jonas Buchli;Freek Stulp;Evangelos Theodorou;Stefan Schaal

  • Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking

    Michael Neunert;Cedric de Crousaz;Fadri Furrer;Mina Kamel

  • Optimal distribution of contact forces with inverse-dynamics control

    Ludovic Righetti;Jonas Buchli;Michael Mistry;Mrinal Kalakrishnan

  • A reactive controller framework for quadrupedal locomotion on challenging terrain

    Victor Barasuol;Jonas Buchli;Claudio Semini;Marco Frigerio

  • Fast, robust quadruped locomotion over challenging terrain

    Mrinal Kalakrishnan;Jonas Buchli;Peter Pastor;Michael Mistry

  • Real-time motion planning of legged robots: A model predictive control approach

    Farbod Farshidian;Edo Jelavic;Asutosh Satapathy;Markus Giftthaler

  • Dynamic torque control of a hydraulic quadruped robot

    Thiago Boaventura;Claudio Semini;Jonas Buchli;Marco Frigerio

  • Towards versatile legged robots through active impedance control

    Claudio Semini;Victor Barasuol;Thiago Boaventura;Marco Frigerio

  • An efficient optimal planning and control framework for quadrupedal locomotion

    Farbod Farshidian;Michael Neunert;Alexander W. Winkler;Gonzalo Rey

  • Compliant quadruped locomotion over rough terrain

    Jonas Buchli;Mrinal Kalakrishnan;Michael Mistry;Peter Pastor

  • Mobile robotic fabrication at 1:1 scale: the In situ Fabricator

    Markus Giftthaler;Timothy Sandy;Kathrin Dörfler;Ian Brooks

  • Inverse dynamics control of floating-base robots with external constraints: A unified view

    Ludovic Righetti;Jonas Buchli;Michael Mistry;Stefan Schaal

  • Engineering entrainment and adaptation in limit cycle systems: From biological inspiration to applications in robotics

    Jonas Buchli;Ludovic Righetti;Auke Jan Ijspeert

  • Mobile Robotic Brickwork

    Kathrin Dörfler;Timothy Sandy;Markus Giftthaler;Fabio Gramazio

Frequent Co-Authors

Stefan Schaal
Stefan Schaal Google (United States)
Auke Jan Ijspeert
Auke Jan Ijspeert École Polytechnique Fédérale de Lausanne
Claudio Semini
Claudio Semini Italian Institute of Technology
Ludovic Righetti
Ludovic Righetti New York University
Darwin G. Caldwell
Darwin G. Caldwell Italian Institute of Technology
Evangelos A. Theodorou
Evangelos A. Theodorou Georgia Institute of Technology
Freek Stulp
Freek Stulp German Aerospace Center
Marco Hutter
Marco Hutter ETH Zurich
Nicolas Heess
Nicolas Heess DeepMind (United Kingdom)

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