World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Germany
2026

D-Index & Metrics

Computer Science

D-Index
136
Citations
99481
World Ranking
85
National Ranking
6

Wolfram Burgard 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 Wolfram Burgard 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: 740 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Wolfram Burgard 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 Wolfram Burgard 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: 136 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 Germany Leader Award
  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award
  • 2015 - IEEE Fellow For contributions to mobile robot navigation and simultaneous localization and mapping
  • 2014 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Informatics
  • 2009 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to mobile robot navigation and environment modeling.

Overview

Wolfram Burgard is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans multiple areas within computer science and engineering, with a focus on robotics and sensor-based localization.

Their work encompasses several main fields of study including:

  • Computer Science
  • Engineering

The subfields they specialize in cover:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Systems Engineering
  • Aerospace Engineering
  • Automotive Engineering

The primary research topics addressed in their work include:

  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Robot Manipulation and Learning
  • Advanced Image and Video Retrieval Techniques
  • Autonomous Vehicle Technology and Safety

Recent papers published by Wolfram Burgard feature a range of topics and venues. Notable recent publications include:

  • "Occupancy Grid Models for Robot Mapping in Changing Environments" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution" (2020), published in IEEE Robotics & Automation Magazine
  • "Localization for precision navigation in agricultural fields-Beyond crop row following" (2020), published in Journal of Field Robotics
  • "What Matters in Language Conditioned Robotic Imitation Learning Over Unstructured Data" (2022), published in IEEE Robotics and Automation Letters
  • "PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention" (2023), published in IEEE Robotics and Automation Letters

Frequent co-authors working alongside Burgard include:

  • Abhinav Valada
  • Tim Welschehold
  • Oier Mees
  • Niclas Vödisch
  • D. Büscher

Publication venues where they have contributed extensively are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • IEEE Robotics & Automation Magazine
  • 2022 International Conference on Robotics and Automation (ICRA)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Awards received by Wolfram Burgard include:

  • IEEE Fellow (2015) for contributions to mobile robot navigation and simultaneous localization and mapping
  • German National Academy of Sciences Leopoldina (2014) for informatics
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (2009) for significant contributions to mobile robot navigation and environment modeling

Best Publications

  • The dynamic window approach to collision avoidance

    D. Fox;W. Burgard;S. Thrun

  • A benchmark for the evaluation of RGB-D SLAM systems

    Jrgen Sturm;Nikolas Engelhard;Felix Endres;Wolfram Burgard

  • Deep learning with convolutional neural networks for EEG decoding and visualization.

    Robin Tibor Schirrmeister;Jost Tobias Springenberg;Lukas Dominique Josef Fiederer;Martin Glasstetter

  • OctoMap: an efficient probabilistic 3D mapping framework based on octrees

    Armin Hornung;Kai M. Wurm;Maren Bennewitz;Cyrill Stachniss

  • Improved Techniques for Grid Mapping With Rao-Blackwellized Particle Filters

    G. Grisetti;C. Stachniss;W. Burgard

  • G 2 o: A general framework for graph optimization

    Rainer Kummerle;Giorgio Grisetti;Hauke Strasdat;Kurt Konolige

  • Robust Monte Carlo localization for mobile robots

    Sebastian Thrun;Dieter Fox;Wolfram Burgard;Frank Dallaert

  • Monte Carlo localization for mobile robots

    F. Dellaert;D. Fox;W. Burgard;S. Thrun

  • Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • Monte Carlo localization: efficient position estimation for mobile robots

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

  • A Tutorial on Graph-Based SLAM

    G Grisetti;R Kümmerle;C Stachniss;W Burgard

  • Coordinated multi-robot exploration

    W. Burgard;M. Moors;C. Stachniss;F.E. Schneider

  • Markov localization for mobile robots in dynamic environments

    Dieter Fox;Wolfram Burgard;Sebastian Thrun

  • A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • Experiences with an interactive museum tour-guide robot

    Wolfram Burgard;Armin B. Cremers;Dieter Fox;Dirk Hähnel

  • MINERVA: a second-generation museum tour-guide robot

    S. Thrun;M. Bennewitz;W. Burgard;A.B. Cremers

  • Collaborative multi-robot exploration

    W. Burgard;M. Moors;D. Fox;R. Simmons

  • Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling

    G. Grisettiyz;C. Stachniss;W. Burgard

  • A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping

    S. Thrun;W. Burgard;D. Fox

  • 3-D Mapping With an RGB-D Camera

    Felix Endres;Jurgen Hess;Jurgen Sturm;Daniel Cremers

  • Monte Carlo Localization

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

  • An Efficient Probabilistic 3D Mapping Framework Based on Octrees

    Armin Hornung;Kai M. Wurm;Maren Bennewitz;Cyrill Stachniss

Frequent Co-Authors

Cyrill Stachniss
Cyrill Stachniss University of Bonn
Sebastian Thrun
Sebastian Thrun Stanford University
Dieter Fox
Dieter Fox University of Washington
Giorgio Grisetti
Giorgio Grisetti Sapienza University of Rome
Oliver Brock
Oliver Brock Technical University of Berlin
Armin B. Cremers
Armin B. Cremers University of Bonn
Maren Bennewitz
Maren Bennewitz University of Bonn
Dirk Schulz
Dirk Schulz TU Dortmund University
Tonio Ball
Tonio Ball University of Freiburg
Jürgen Sturm
Jürgen Sturm Google (United States)

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

Exploring alternative online degrees can broaden your career options within computer science and related fields. Many universities in the USA now offer flexible pathways to earn a college degree, making it easier to learn at your own pace and from any location.

If affordability is a concern, you might consider a cheapest online bachelor's degree, which provides access to quality education without a hefty price tag. For those interested in combining technology and problem-solving, earning an online engineer degree can open doors to various high-demand sectors.

Advanced learners looking to move into leadership positions may benefit from an emba online program. This can expand your skill set in both business management and technology innovation. Alternatively, if your interests include the organization and digital curation of information, consider exploring online mlis programs.

With so many online options, it’s important to choose a degree pathway that aligns with your career goals and budget while ensuring access to quality education and valuable credentials.

Best Scientists Citing Wolfram Burgard

Trending Scientists

Recently Published Articles