World's Best Scientists 2026 revealed!
Davide Scaramuzza

Davide Scaramuzza

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Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
113
Citations
57953
World Ranking
199
National Ranking
7

Davide Scaramuzza publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Davide Scaramuzza sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 335 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Davide Scaramuzza D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Davide Scaramuzza sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 113 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Davide Scaramuzza is affiliated with the University of Zurich in Switzerland and has contributed extensively to the fields of engineering and computer science. Their research primarily spans computer vision and pattern recognition, aerospace engineering, electrical and electronic engineering, artificial intelligence, and control and systems engineering.

The scientist's work explores several main topics, including robotics and sensor-based localization, robotic path planning algorithms, advanced memory and neural computing, reinforcement learning in robotics, advanced vision and imaging, advanced control systems optimization, and CCD and CMOS imaging sensors.

Scaramuzza has a diverse publication record with frequent contributions to several venues. The most common publication platforms include arXiv (Cornell University), the Zurich Open Repository and Archive (University of Zurich), IEEE Robotics and Automation Letters, Science Robotics, and Zenodo (CERN European Organization for Nuclear Research).

Recent notable papers include:

  • "Event-based Vision: A Survey," 2020, Zurich Open Repository and Archive (University of Zurich)
  • "Champion-level drone racing using deep reinforcement learning," 2023, Nature
  • "Dynamic obstacle avoidance for quadrotors with event cameras," 2020, Science Robotics
  • "A General Framework for Uncertainty Estimation in Deep Learning," 2020, Zurich Open Repository and Archive (University of Zurich)
  • "Time-optimal planning for quadrotor waypoint flight," 2021, Science Robotics

Frequent co-authors collaborating with Scaramuzza include Elia Kaufmann, Yunlong Song, Daniel Gehrig, Leonard Bauersfeld, and Mathias Gehrig. Each of these collaborators has contributed to multiple joint works, with collaboration counts ranging from 20 to 30 publications.

Best Publications

  • Introduction to Autonomous Mobile Robots

    Roland Siegwart;Illah R. Nourbakhsh;Davide Scaramuzza

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • SVO: Fast semi-direct monocular visual odometry

    Christian Forster;Matia Pizzoli;Davide Scaramuzza

  • Event-based Vision: A Survey

    Guillermo Gallego;Tobi Delbruck;Garrick Michael Orchard;Chiara Bartolozzi

  • On-Manifold Preintegration for Real-Time Visual--Inertial Odometry

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Visual Odometry [Tutorial]

    D. Scaramuzza;F. Fraundorfer

  • SVO: Semidirect Visual Odometry for Monocular and Multicamera Systems

    Christian Forster;Zichao Zhang;Michael Gassner;Manuel Werlberger

  • Visual Odometry : Part II: Matching, Robustness, Optimization, and Applications

    F. Fraundorfer;D. Scaramuzza

  • The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM:

    Elias Mueggler;Henri Rebecq;Guillermo Gallego;Tobi Delbruck;Tobi Delbruck

  • Event-Based Vision Meets Deep Learning on Steering Prediction for Self-Driving Cars

    Ana I. Maqueda;Antonio Loquercio;Guillermo Gallego;Narciso Garcia

  • A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots

    Alessandro Giusti;Jerome Guzzi;Dan C. Ciresan;Fang-Lin He

  • A Toolbox for Easily Calibrating Omnidirectional Cameras

    Davide Scaramuzza;Agostino Martinelli;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 Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry

    Zichao Zhang;Davide Scaramuzza

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

    D. Scaramuzza;A. Martinelli;R. Siegwart

  • IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation

    Christian Forster;Luca Carlone;Frank Dellaert;Davide Scaramuzza

  • Vision based MAV navigation in unknown and unstructured environments

    Michael Blosch;Stephan Weiss;Davide Scaramuzza;Roland Siegwart

  • DroNet: Learning to Fly by Driving

    Antonio Loquercio;Ana I. Maqueda;Carlos R. del-Blanco;Davide Scaramuzza

  • Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High-Speed Scenarios

    Antonio Rosinol Vidal;Henri Rebecq;Timo Horstschaefer;Davide Scaramuzza

  • Monocular-SLAM–based navigation for autonomous micro helicopters in GPS-denied environments

    Stephan Weiss;Davide Scaramuzza;Roland Siegwart

  • High Speed and High Dynamic Range Video with an Event Camera

    Henri Rebecq;Rene Ranftl;Vladlen Koltun;Davide Scaramuzza

Frequent Co-Authors

Laurent Kneip
Laurent Kneip ShanghaiTech University
Rene Ranftl
Rene Ranftl Intel (United States)
Friedrich Fraundorfer
Friedrich Fraundorfer Graz University of Technology
Vladlen Koltun
Vladlen Koltun Apple (United States)
Alexey Dosovitskiy
Alexey Dosovitskiy Google (United States)
Tobi Delbruck
Tobi Delbruck ETH Zurich
Marc Pollefeys
Marc Pollefeys ETH Zurich
Frank Dellaert
Frank Dellaert Georgia Institute of Technology

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