World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13893
World Ranking
4268
National Ranking
2011

Sebastian Scherer 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 Sebastian Scherer 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: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Sebastian Scherer 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 Sebastian Scherer 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Sebastian Scherer is affiliated with Carnegie Mellon University in the United States. Their scholarly work spans the fields of Computer Science and Engineering, with a strong focus on robotics and sensor-based localization systems.

The scientist has contributed extensively to several subfields, including Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Control and Systems Engineering, and Geology. Their research frequently addresses topics such as Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, 3D Surveying and Cultural Heritage, Domain Adaptation and Few-Shot Learning, and Indoor and Outdoor Localization Technologies.

Among the recent publications authored or co-authored by Sebastian Scherer are the following:

  • "RGB-D SLAM in Dynamic Environments Using Point Correlations," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments," 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge," 2023, IEEE Transactions on Robotics
  • "AnyLoc: Towards Universal Visual Place Recognition," 2023, IEEE Robotics and Automation Letters
  • "ALFA: A dataset for UAV fault and anomaly detection," 2020, The International Journal of Robotics Research

Sebastian Scherer's frequent collaborators include:

  • Chen Wang
  • Wenshan Wang
  • Brady Moon
  • Mohammadreza Mousaei
  • Yuheng Qiu

Their work has been published multiple times in notable venues, with frequent contributions in:

  • arXiv (Cornell University), 114 publications
  • IEEE Robotics and Automation Letters, 16 publications
  • IEEE Transactions on Robotics, 6 publications
  • 2022 International Conference on Robotics and Automation (ICRA), 5 publications
  • Field Robotics, 5 publications

Best Publications

  • VoxNet: A 3D Convolutional Neural Network for real-time object recognition

    Daniel Maturana;Sebastian Scherer

  • UUV Simulator: A Gazebo-based package for underwater intervention and multi-robot simulation

    Musa Morena Marcusso Manhaes;Sebastian A. Scherer;Martin Voss;Luiz Ricardo Douat

  • CubeSLAM: Monocular 3-D Object SLAM

    Shichao Yang;Sebastian Scherer

  • CubeSLAM: Monocular 3D Object SLAM

    Shichao Yang;Sebastian Scherer

  • TartanAir: A Dataset to Push the Limits of Visual SLAM

    Wenshan Wang;Delong Zhu;Xiangwei Wang;Yaoyu Hu

  • 3D Convolutional Neural Networks for landing zone detection from LiDAR

    Daniel Maturana;Sebastian Scherer

  • RGB-D SLAM in Dynamic Environments Using Point Correlations.

    Weichen Dai;Yu Zhang;Ping Li;Zheng Fang

  • Flying Fast and Low Among Obstacles: Methodology and Experiments

    Sebastian Scherer;Sanjiv Singh;Lyle Chamberlain;Mike Elgersma

  • An Onboard Monocular Vision System for Autonomous Takeoff, Hovering and Landing of a Micro Aerial Vehicle

    Shaowu Yang;Sebastian A. Scherer;Andreas Zell

  • First results in detecting and avoiding frontal obstacles from a monocular camera for micro unmanned aerial vehicles

    Tomoyuki Mori;Sebastian Scherer

  • Real-Time Semantic Mapping for Autonomous Off-Road Navigation

    Daniel Maturana;Po-Wei Chou;Masashi Uenoyama;Sebastian A. Scherer

  • River mapping from a flying robot: state estimation, river detection, and obstacle mapping

    Sebastian Scherer;Joern Rehder;Supreeth Achar;Hugh Cover

  • Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments.

    Shibo Zhao;Hengrui Zhang;Peng Wang;Lucas Nogueira

  • An efficient global energy optimization approach for robust 3D plane segmentation of point clouds

    Zhen Dong;Zhen Dong;Bisheng Yang;Pingbo Hu;Sebastian Scherer

  • Pop-up SLAM: Semantic monocular plane SLAM for low-texture environments

    Shichao Yang;Yu Song;Michael Kaess;Sebastian Scherer

  • Monocular Object and Plane SLAM in Structured Environments

    Shichao Yang;Sebastian Scherer

  • Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor

    Zhen Dong;Bisheng Yang;Fuxun Liang;Ronggang Huang

  • Autonomous landing at unprepared sites by a full-scale helicopter

    Sebastian Scherer;Lyle Chamberlain;Sanjiv Singh

  • Flying Fast and Low Among Obstacles

    S. Scherer;S. Singh;L. Chamberlain;S. Saripalli

  • Improving stochastic policy gradients in continuous control with deep reinforcement learning using the Beta distribution

    Po-Wei Chou;Daniel Maturana;Sebastian Scherer

  • Tartan Racing: A multi-modal approach to the DARPA Urban Challenge

    Chris Urmson;J. Andrew Bagnell;Christopher R. Baker;Martial Hebert

  • Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning

    Sanjiban Choudhury;Jonathan D. Gammell;Timothy D. Barfoot;Siddhartha S. Srinivasa

  • Autonomous Exploration for Infrastructure Modeling with a Micro Aerial Vehicle

    Luke Yoder;Sebastian A. Scherer

Frequent Co-Authors

Sanjiv Singh
Sanjiv Singh Carnegie Mellon University
Andreas Zell
Andreas Zell University of Tübingen
Chen Wang
Chen Wang Swansea University
Ashish Kapoor
Ashish Kapoor Microsoft (United States)
Wen Yang
Wen Yang Beijing Institute of Technology
Michael Kaess
Michael Kaess Carnegie Mellon University
Katia Sycara
Katia Sycara Carnegie Mellon University
Michael Lewis
Michael Lewis University of Pittsburgh
Rainer Lienhart
Rainer Lienhart University of Augsburg
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington

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