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Roland Siegwart

Roland Siegwart

ETH Zurich
Switzerland

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Electronics and Electrical Engineering
Switzerland
2026
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Mechanical and Aerospace Engineering
Switzerland
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 134 8 7 1 1 1100 81881
Electronics and Electrical Engineering 136 31 31 1 1 1111 83716

Roland Siegwart publications per year

The chart shows the history of publications by Roland Siegwart between 1989 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Roland Siegwart published across 37 years, from 1989 to 2025, averaging 34.8 papers a year. Output peaked at 72 publications in 2016. 71 of the 1,289 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1989 to 2025. Vertical axis: number of publications, 0 to 72. Peak 72 publications in 2016. 1989: 2 publications 1990: 3 publications 1991: 2 publications 1992: 4 publications 1993: 3 publications 1994: 9 publications 1995: 11 publications 1996: 3 publications 1997: 3 publications 1998: 14 publications 1999: 6 publications 2000: 20 publications 2001: 22 publications 2002: 19 publications 2003: 35 publications 2004: 34 publications 2005: 31 publications 2006: 58 publications 2007: 55 publications 2008: 42 publications 2009: 39 publications 2010: 48 publications 2011: 47 publications 2012: 59 publications 2013: 51 publications 2014: 57 publications 2015: 42 publications 2016: 72 publications 2017: 54 publications 2018: 67 publications 2019: 58 publications 2020: 59 publications 2021: 69 publications 2022: 67 publications 2023: 53 publications 2024: 52 publications 2025: 19 publications
1989 2025

1,289 publications in total across all disciplines

View publications per year as a table
Roland Siegwart: publications per year, 1989 to 2025
Year Publications
1989 2
1990 3
1991 2
1992 4
1993 3
1994 9
1995 11
1996 3
1997 3
1998 14
1999 6
2000 20
2001 22
2002 19
2003 35
2004 34
2005 31
2006 58
2007 55
2008 42
2009 39
2010 48
2011 47
2012 59
2013 51
2014 57
2015 42
2016 72
2017 54
2018 67
2019 58
2020 59
2021 69
2022 67
2023 53
2024 52
2025 19
Total 1,289
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Roland Siegwart publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Roland Siegwart sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 659+ publications, is where this scientist sits. 47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47–56 publications 659+

This scientist: 1,100 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100 1,100
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Roland Siegwart D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Roland Siegwart sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 93+ D-Index, is where this scientist sits. 30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 134 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100 134
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Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2026 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Switzerland Leader Award
  • 2022 - Research.com Mechanical and Aerospace Engineering in Switzerland Leader Award
  • 2008 - IEEE Fellow For contributions to mobile, networked, and micro-scale robots

Overview

Roland Siegwart is affiliated with ETH Zurich in Switzerland and has a substantial body of research primarily spanning the fields of engineering and computer science. Their work covers multiple subfields including computer vision and pattern recognition, aerospace engineering, control and systems engineering, artificial intelligence, and biomedical engineering.

The research topics explored by Siegwart encompass robotics and sensor-based localization, robotic path planning algorithms, robot manipulation and learning, advanced neural network applications, advanced vision and imaging, advanced image and video retrieval techniques, and robotic locomotion and control.

Among their recent published papers are:

  • An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments (2020), published in IEEE Robotics and Automation Letters
  • CERBERUS in the DARPA Subterranean Challenge (2022), published in Science Robotics
  • An informative path planning framework for UAV-based terrain monitoring (2020), published in Autonomous Robots
  • LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot With Kinematic Loops (2020), published in IEEE Robotics and Automation Letters
  • The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation (2021), published in International Journal of Computer Vision

Siegwart has collaborated frequently with several researchers, including César Cadena, Lionel Ott, Jen Jen Chung, Hermann Blum, and Juan Nieto, reflecting a collaborative approach within the robotics and automation research community.

Their work has been published extensively across a range of venues, with notable frequency in arXiv (Cornell University), IEEE Robotics and Automation Letters, Zenodo (CERN European Organization for Nuclear Research), the 2022 International Conference on Robotics and Automation (ICRA), and IEEE Transactions on Robotics.

Recognition for their contributions includes being named an IEEE Fellow in 2008, acknowledging their work related to mobile, networked, and micro-scale robots.

Best Publications

  • BRISK: Binary Robust invariant scalable keypoints

    Stefan Leutenegger;Margarita Chli;Roland Y. Siegwart

  • Introduction to Autonomous Mobile Robots

    Roland Siegwart;Illah R. Nourbakhsh;Davide Scaramuzza

  • Keyframe-based visual-inertial odometry using nonlinear optimization

    Stefan Leutenegger;Simon Lynen;Michael Bosse;Roland Siegwart

  • The EuRoC micro aerial vehicle datasets

    Michael Burri;Janosch Nikolic;Pascal Gohl;Thomas Schneider

  • PID vs LQ control techniques applied to an indoor micro quadrotor

    S. Bouabdallah;A. Noth;R. Siegwart

  • Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor

    S. Bouabdallah;R. Siegwart

  • Design and control of an indoor micro quadrotor

    S. Bouabdallah;P. Murrieri;R. Siegwart

  • Full control of a quadrotor

    S. Bouabdallah;R. Siegwart

  • Comparing ICP variants on real-world data sets

    François Pomerleau;Francis Colas;Roland Siegwart;Stéphane Magnenat

  • Unified temporal and spatial calibration for multi-sensor systems

    Paul Furgale;Joern Rehder;Roland Siegwart

  • From Coarse to Fine: Robust Hierarchical Localization at Large Scale

    Paul-Edouard Sarlin;Cesar Cadena;Roland Siegwart;Marcin Dymczyk

  • A Toolbox for Easily Calibrating Omnidirectional Cameras

    Davide Scaramuzza;Agostino Martinelli;Roland Siegwart

  • A Review of Point Cloud Registration Algorithms for Mobile Robotics

    François Pomerleau;Francis Colas;Roland Siegwart

  • A novel parametrization of the perspective-three-point problem for a direct computation of absolute camera position and orientation

    Laurent Kneip;Davide Scaramuzza;Roland Siegwart

  • A robust and modular multi-sensor fusion approach applied to MAV navigation

    Simon Lynen;Markus W. Achtelik;Stephan Weiss;Margarita Chli

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

    Michael Bloesch;Sammy Omari;Marco Hutter;Roland Siegwart

  • Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices

    José Halloy;Grégory Sempo;Gilles Caprari;Colette Rivault

  • Receding horizon “next-best-view” planner for 3D exploration

    Andreas Bircher;Mina Kamel;Kostas Alexis;Helen Oleynikova

  • Control of a Quadrotor With Reinforcement Learning

    Jemin Hwangbo;Inkyu Sa;Roland Siegwart;Marco Hutter

  • A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion

    D. Scaramuzza;A. Martinelli;R. Siegwart

  • Vision based MAV navigation in unknown and unstructured environments

    Michael Blosch;Stephan Weiss;Davide Scaramuzza;Roland Siegwart

  • Robot learning from demonstration

    Aude Billard;Roland Siegwart

Frequent Co-Authors

Juan Nieto
Juan Nieto Microsoft (United States)
Cesar Cadena
Cesar Cadena ETH Zurich
Marco Hutter
Marco Hutter ETH Zurich
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Kai O. Arras
Kai O. Arras Robert Bosch (Germany)
Kostas Alexis
Kostas Alexis Norwegian University of Science and Technology
Paul Beardsley
Paul Beardsley Weta Digital
Paul Furgale
Paul Furgale ETH Zurich
Javier Alonso-Mora
Javier Alonso-Mora Delft University of Technology
C. David Remy
C. David Remy University of Stuttgart

External Links

Wikipedia of Roland Siegwart Personal website of Roland Siegwart Google Scholar page

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