World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
11735
World Ranking
6723
National Ranking
320

Kai O. Arras 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 Kai O. Arras 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: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Kai O. Arras 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 Kai O. Arras 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Kai O. Arras is affiliated with Robert Bosch (Germany) and has contributed extensively to research in areas related to robotics, autonomous systems, and engineering. Their work spans multiple facets of computer science and engineering, emphasizing applications in robotics and autonomous vehicle technology.

Their research domains include:

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

Main topics covered in their research involve:

  • Autonomous Vehicle Technology and Safety
  • Video Surveillance and Tracking Methods
  • Robotic Path Planning Algorithms
  • Social Robot Interaction and Human-Robot Interaction (HRI)
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Reinforcement Learning in Robotics

Kai O. Arras has published regularly in several venues, notably:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
  • IFAC-PapersOnLine
  • Robotics and Computer-Integrated Manufacturing

Recent publications include:

  • "Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots," 2021, IEEE Robotics and Automation Letters
  • "CIAO⁎: MPC-based Safe Motion Planning in Predictable Dynamic Environments," 2020, IFAC-PapersOnLine
  • "Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study," 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "The e-Bike motor assembly: Towards advanced robotic manipulation for flexible manufacturing," 2023, Robotics and Computer-Integrated Manufacturing
  • "The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots," 2023, IEEE Robotics & Automation Magazine

Frequent co-authors collaborating with Kai O. Arras include:

  • Achim J. Lilienthal
  • Luigi Palmieri
  • Andrey Rudenko
  • Martin Magnusson

Their contribution to the fields of autonomous mobility and robotics is reflected in a broad output of research addressing safety, motion planning, human-robot interaction, and industrial applications. Their work incorporates rigorous system engineering approaches and aims to advance the development of robotic systems capable of operating in complex, dynamic environments.

Best Publications

  • Human motion trajectory prediction: a survey:

    Andrey Rudenko;Andrey Rudenko;Luigi Palmieri;Michael Herman;Kris M. Kitani

  • Using Boosted Features for the Detection of People in 2D Range Data

    K.O. Arras;O.M. Mozos;W. Burgard

  • People detection in RGB-D data

    Luciano Spinello;Kai O. Arras

  • People tracking with human motion predictions from social forces

    Matthias Luber;Johannes A. Stork;Gian Diego Tipaldi;Kai O. Arras

  • Robox at expo.02: A Large Scale Installation of Personal Robots

    Roland Siegwart;Kai Oliver Arras;Samir Bouabdallah;Daniel Burnier

  • SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports

    Rudolph Triebel;Kai Oliver Arras;Rachid Alami;Lucas Beyer

  • People tracking in RGB-D data with on-line boosted target models

    Matthias Luber;Luciano Spinello;Kai O. Arras

  • Feature Extraction and Scene Interpretation for Map-Based Navigation and Map Building

    Kai Oliver Arras;Roland Yves Siegwart

  • Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities

    K.O. Arras;S. Grzonka;M. Luber;W. Burgard

  • Inverse Reinforcement Learning algorithms and features for robot navigation in crowds: An experimental comparison

    Dizan Vasquez;Billy Okal;Kai Oliver Arras

  • Socially-aware robot navigation: A learning approach

    Matthias Luber;Luciano Spinello;Jens Silva;Kai O. Arras

  • 2D mapping of cluttered indoor environments by means of 3D perception

    O. Wulf;K.O. Arras;H.I. Christensen;B. Wagner

  • A layered approach to people detection in 3D range data

    Luciano Spinello;Kai O. Arras;Rudolph Triebel;Roland Siegwart

  • MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation

    Istvan Sarandi;Timm Linder;Kai Oliver Arras;Bastian Leibe

  • Multisensor on-the-fly localization:: Precision and reliability for applications

    Kai Oliver Arras;Nicola Tomatis;Björn Jensen;Roland Siegwart

  • Audio-based human activity recognition using Non-Markovian Ensemble Voting

    Johannes A. Stork;Luciano Spinello;Jens Silva;Kai O. Arras

  • Real-time obstacle avoidance for polygonal robots with a reduced dynamic window

    K.O. Arras;J. Persson;N. Tomatis;R. Siegwart

  • On multi-modal people tracking from mobile platforms in very crowded and dynamic environments

    Timm Linder;Stefan Breuers;Bastian Leibe;Kai O. Arras

  • FLIRT - Interest regions for 2D range data

    Gian Diego Tipaldi;Kai O. Arras

  • RRT-based nonholonomic motion planning using any-angle path biasing

    Luigi Palmieri;Sven Koenig;Kai O. Arras

  • Do we want to share our lives and bodies with robots? A 2000 people survey

    Kai O. Arras;Daniela Cerqui

  • Learning socially normative robot navigation behaviors with Bayesian inverse reinforcement learning

    Billy Okal;Kai O. Arras

Frequent Co-Authors

Bastian Leibe
Bastian Leibe RWTH Aachen University
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich
Moritz Diehl
Moritz Diehl University of Freiburg
Sven Koenig
Sven Koenig University of Southern California
Giorgio Grisetti
Giorgio Grisetti Sapienza University of Rome
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Zoltan-Csaba Marton
Zoltan-Csaba Marton Agile Robots AG
Illah Nourbakhsh
Illah Nourbakhsh Carnegie Mellon University

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