World's Best Scientists 2026 revealed!
Klaus Dietmayer

Klaus Dietmayer

D-Index & Metrics

Computer Science

D-Index
61
Citations
15522
World Ranking
3062
National Ranking
145

Klaus Dietmayer 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 Klaus Dietmayer 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: 366 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Klaus Dietmayer 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 Klaus Dietmayer 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Klaus Dietmayer is affiliated with the University of Ulm in Germany and has a substantial publication record in the areas of computer science and engineering. Their research spans multiple subfields with a significant focus on computer vision and pattern recognition, automotive engineering, and artificial intelligence, among others.

The main fields of study associated with Dietmayer include:

  • Computer Science
  • Engineering

Their work delves into a variety of specialized subfields, particularly:

  • Computer Vision and Pattern Recognition
  • Automotive Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Environmental Engineering

Key areas of research topics encompass:

  • Autonomous Vehicle Technology and Safety
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Remote Sensing and LiDAR Applications
  • Anomaly Detection Techniques and Applications
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms

Dietmayer has contributed to a variety of frequent publication venues, many related to intelligent transportation and robotics, such as:

  • arXiv (Cornell University)
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Robotics and Automation Letters

Several recent papers authored or co-authored by Dietmayer include:

  • "Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges" (2020), published in IEEE Transactions on Intelligent Transportation Systems
  • "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving" (2021), published in IEEE Transactions on Intelligent Transportation Systems
  • "Point Transformer" (2021), published in IEEE Access
  • "CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention" (2022), published in the 2022 International Conference on Robotics and Automation (ICRA)
  • "MotionMixer: MLP-based 3D Human Body Pose Forecasting" (2022), published in the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Their frequent co-authors include:

  • Michael Buchholz
  • Michael B. Buchholz
  • Vasileios Belagiannis
  • Aldi Piroli
  • Vinzenz Dallabetta

Best Publications

  • Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

    Di Feng;Christian Haase-Schutz;Lars Rosenbaum;Heinz Hertlein

  • Three Decades of Driver Assistance Systems: Review and Future Perspectives

    Klaus Bengler;Klaus Dietmayer;Berthold Farber;Markus Maurer

  • The Labeled Multi-Bernoulli Filter

    Stephan Reuter;Ba-Tuong Vo;Ba-Ngu Vo;Klaus Dietmayer

  • Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods

    Adnan Nuhic;Tarik Terzimehic;Thomas Soczka-Guth;Michael Buchholz

  • Probabilistic trajectory prediction with Gaussian mixture models

    Jurgen Wiest;Matthias Hoffken;Ulrich Kresel;Klaus Dietmayer

  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

    Mario Bijelic;Tobias Gruber;Fahim Mannan;Florian Kraus

  • A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving

    Di Feng;Ali Harakeh;Steven L. Waslander;Klaus Dietmayer

  • Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection

    Di Feng;Lars Rosenbaum;Klaus Dietmayer

  • Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios

    N. Kaempchen;B. Schiele;K. Dietmayer

  • Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner

    K.Ch. Fuerstenberg;K.C.J. Dietmayer;V. Willhoeft

  • Point Transformer

    Nico Engel;Vasileios Belagiannis;Klaus Dietmayer

  • 2D Car Detection in Radar Data with PointNets

    Andreas Danzer;Thomas Griebel;Martin Bach;Klaus Dietmayer

  • Continuous Driver Intention Recognition with Hidden Markov Models

    H. Berndt;J. Emmert;K. Dietmayer

  • IMM object tracking for high dynamic driving maneuvers

    N. Kaempchen;K. Weiss;M. Schaefer;K.C.J. Dietmayer

  • Instantaneous ego-motion estimation using Doppler radar

    Dominik Kellner;Michael Barjenbruch;Jens Klappstein;Jurgen Dickmann

  • Model-Based Object Classification and Object tracking in Traffic Scenes from range-Images

    K. C. Dietmayer

  • Lane detection and street type classification using laser range images

    J. Sparbert;K. Dietmayer;D. Streller

  • Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling

    Stefan Hoermann;Martin Bach;Klaus Dietmayer

  • Uncertainty Estimation in One-Stage Object Detection

    Florian Kraus;Klaus Dietmayer

  • Robust Driving Path Detection in Urban and Highway Scenarios Using a Laser Scanner and Online Occupancy Grids

    T. Weiss;B. Schiele;K. Dietmayer

  • METHOD FOR CALIBRATING DISTANCE IMAGE SENSOR

    Kaempchen Nico;Buehler Matthias;Dietmayer Klaus;Lages Ulrich

  • A random finite set approach for dynamic occupancy grid maps with real-time application

    Dominik Nuss;Stephan Reuter;Markus Thom;Ting Yuan

  • Car2X-based perception in a high-level fusion architecture for cooperative perception systems

    Andreas Rauch;Felix Klanner;Ralph Rasshofer;Klaus Dietmayer

Frequent Co-Authors

Christoph Stiller
Christoph Stiller Karlsruhe Institute of Technology
Felix Heide
Felix Heide Princeton University
Ba-Tuong Vo
Ba-Tuong Vo Curtin University
Bernhard Sick
Bernhard Sick University of Kassel
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Wolfgang Minker
Wolfgang Minker University of Ulm
Klaus Bengler
Klaus Bengler Technical University of Munich
Michael Weber
Michael Weber University of Ulm
Friedhelm Schwenker
Friedhelm Schwenker University of Ulm
Masayoshi Tomizuka
Masayoshi Tomizuka University of California, Berkeley

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