World's Best Scientists 2026 revealed!
Marco Hutter

Marco Hutter

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
77
Citations
21999
World Ranking
614
National Ranking
18

Marco Hutter 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 Marco Hutter 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: 267 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Marco Hutter 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 Marco Hutter 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: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Marco Hutter is a researcher affiliated with ETH Zurich in Switzerland, with extensive contributions to the fields of engineering and computer science. Their work primarily focuses on robotic locomotion, control, and related areas within robotics and automation.

Their research spans several subfields, including biomedical engineering, computer vision and pattern recognition, control and systems engineering, aerospace engineering, and mechanical engineering. They have contributed significantly to topics such as robotic locomotion and control, robotic path planning algorithms, robotics and sensor-based localization, prosthetics and rehabilitation robotics, robot manipulation and learning, modular robots and swarm intelligence, and reinforcement learning in robotics.

Marco Hutter has published numerous papers in various scientific venues. Notable recent papers include:

  • Learning quadrupedal locomotion over challenging terrain, 2020, Repository for Publications and Research Data (ETH Zurich)
  • Learning robust perceptive locomotion for quadrupedal robots in the wild, 2022, Science Robotics
  • Graph-based subterranean exploration path planning using aerial and legged robots, 2020, Journal of Field Robotics
  • CERBERUS in the DARPA Subterranean Challenge, 2022, Science Robotics
  • Perceptive Locomotion Through Nonlinear Model-Predictive Control, 2023, IEEE Transactions on Robotics

Frequent co-authors collaborating with Marco Hutter include:

  • Farbod Farshidian
  • Shehryar Khattak
  • Marko Bjelonic
  • Lorenz Wellhausen
  • David Hoeller

Marco Hutter has contributed extensively to key publication venues in the field, including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Repository for Publications and Research Data (ETH Zurich)
  • Science Robotics
  • IEEE Transactions on Robotics

Their research output encompasses engineering and computer science disciplines with a particular emphasis on the development of robotic systems capable of complex locomotion and autonomous navigation. Their work often addresses practical challenges in unstructured and difficult environments, advancing methods in control, sensor integration, and learning algorithms within robotics.

Best Publications

  • Learning quadrupedal locomotion over challenging terrain

    Joonho Lee;Jemin Hwangbo;Jemin Hwangbo;Lorenz Wellhausen;Vladlen Koltun

  • Learning agile and dynamic motor skills for legged robots

    Jemin Hwangbo;Joonho Lee;Alexey Dosovitskiy;Dario Bellicoso

  • Learning robust perceptive locomotion for quadrupedal robots in the wild

    Unknown

  • Robust visual inertial odometry using a direct EKF-based approach

    Michael Bloesch;Sammy Omari;Marco Hutter;Roland Siegwart

  • Control of a Quadrotor With Reinforcement Learning

    Jemin Hwangbo;Inkyu Sa;Roland Siegwart;Marco Hutter

  • Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback

    Michael Bloesch;Michael Burri;Sammy Omari;Marco Hutter

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

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

  • ANYmal - a highly mobile and dynamic quadrupedal robot

    Marco Hutter;Christian Gehring;Dominic Jud;Andreas Lauber

  • Kinect v2 for mobile robot navigation: Evaluation and modeling

    Peter Fankhauser;Michael Bloesch;Diego Rodriguez;Ralf Kaestner

  • The current state and future outlook of rescue robotics

    Jeffrey A. Delmerico;Stefano Mintchev;Alessandro Giusti;Boris Gromov

  • ANYmal - toward legged robots for harsh environments

    Marco Hutter;Christian Gehring;Andreas Lauber;Fabian Günther

  • Keep Rollin’—Whole-Body Motion Control and Planning for Wheeled Quadrupedal Robots

    Marko Bjelonic;C. Dario Bellicoso;Yvain de Viragh;Dhionis Sako

  • Starleth: A compliant quadrupedal robot for fast, efficient, and versatile locomotion

    Marco Hutter;Christian Gehring;Michael Bloesch;Mark A. Hoepflinger

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

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

  • Probabilistic Terrain Mapping for Mobile Robots With Uncertain Localization

    Peter Fankhauser;Michael Bloesch;Marco Hutter

  • CERBERUS in the DARPA Subterranean Challenge

    Unknown

  • A Universal Grid Map Library: Implementation and Use Case for Rough Terrain Navigation

    Péter Fankhauser;Marco Hutter

  • Perceptive Locomotion Through Nonlinear Model-Predictive Control

    Unknown

  • Per-Contact Iteration Method for Solving Contact Dynamics

    Jemin Hwangbo;Joonho Lee;Marco Hutter

  • State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU

    Unknown

  • State Estimation for Legged Robots - Consistent Fusion of Leg Kinematics and IMU

    Michael Bloesch;Marco Hutter;Mark A. Hoepflinger;Stefan Leutenegger

  • Control of dynamic gaits for a quadrupedal robot

    Christian Gehring;Stelian Coros;Marco Hutter;Michael Bloesch

  • ROBOT-CENTRIC ELEVATION MAPPING WITH UNCERTAINTY ESTIMATES

    Péter Fankhauser;Michael Bloesch;Christian Gehring;Marco Hutter

  • Dynamic Locomotion Through Online Nonlinear Motion Optimization for Quadrupedal Robots

    C. Dario Bellicoso;Fabian Jenelten;Christian Gehring;Marco Hutter

  • Navigation planning for legged robots in challenging terrain

    Martin Wermelinger;Peter Fankhauser;Remo Diethelm;Philipp Krusi

Frequent Co-Authors

C. David Remy
C. David Remy University of Stuttgart
Rene Ranftl
Rene Ranftl Intel (United States)
Vladlen Koltun
Vladlen Koltun Apple (United States)
Alexey Dosovitskiy
Alexey Dosovitskiy Google (United States)
Jonas Buchli
Jonas Buchli DeepMind (United Kingdom)
Stelian Coros
Stelian Coros ETH Zurich
Robert Riener
Robert Riener ETH Zurich
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Kostas Alexis
Kostas Alexis Norwegian University of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can open new career opportunities. Many students appreciate the flexibility of online colleges that start immediately, allowing them to begin their education without waiting for traditional semester dates.

Additionally, shorter programs can provide a quick route into the workforce. Consider 6-month certificate programs that pay well to gain specialized skills that complement your engineering background and boost your employability.

For professionals who prefer quieter work environments, certain roles in electrical and electronics fields align well with the profile of jobs for introverts that pay well, offering balanced career paths that suit individual work styles and personality preferences.

Moreover, advancing into technical management is possible through accelerated education options, such as the fastest online project management degree, which can prepare engineers for leadership roles without extended time commitments.

Best Scientists Citing Marco Hutter

Trending Scientists

Recently Published Articles