World's Best Scientists 2026 revealed!
Marco Hutter

Marco Hutter

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 77 614 589 18 18 267 21999

Marco Hutter publications per year

The chart shows the history of publications by Marco Hutter between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marco Hutter published across 18 years, from 2008 to 2025, averaging 24.8 papers a year. Output peaked at 73 publications in 2024. 129 of the 447 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 73. Peak 73 publications in 2024. 2008: 1 publication 2009: 2 publications 2010: 6 publications 2011: 4 publications 2012: 8 publications 2013: 9 publications 2014: 10 publications 2015: 7 publications 2016: 20 publications 2017: 13 publications 2018: 27 publications 2019: 34 publications 2020: 27 publications 2021: 37 publications 2022: 62 publications 2023: 51 publications 2024: 73 publications 2025: 56 publications
2008 2025

447 publications in total across all disciplines

View publications per year as a table
Marco Hutter: publications per year, 2008 to 2025
Year Publications
2008 1
2009 2
2010 6
2011 4
2012 8
2013 9
2014 10
2015 7
2016 20
2017 13
2018 27
2019 34
2020 27
2021 37
2022 62
2023 51
2024 73
2025 56
Total 447
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 254–273 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366 267
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 77 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35 77
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
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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

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