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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
23596
World Ranking
1575
National Ranking
61

Michael Beetz 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 Michael Beetz 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: 533 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Michael Beetz 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 Michael Beetz 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: 73 D-Index — 89th percentile

89% 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

  • 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

Overview

Michael Beetz is affiliated with the University of Bremen in Germany and has contributed substantially to fields within computer science and engineering. Their research spans a variety of specialized areas including artificial intelligence, control and systems engineering, computer vision and pattern recognition, industrial and manufacturing engineering, and social psychology.

Their work focuses on several main topics related to robotics and AI, including:

  • Robot Manipulation and Learning
  • AI-based Problem Solving and Planning
  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Logic, Reasoning, and Knowledge
  • Modular Robots and Swarm Intelligence
  • Robotics and Sensor-Based Localization

Their publication record includes papers in a range of journals and conference proceedings, with multiple contributions to both theoretical and applied aspects of robotics and AI. Frequent publication venues include:

  • arXiv (Cornell University)
  • Media (https://www.suub.uni-bremen.de/)
  • Robotics and Autonomous Systems
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Notable recent papers by Michael Beetz include:

  • "SkillMaN - A skill-based robotic manipulation framework based on perception and reasoning" (2020, Robotics and Autonomous Systems)
  • "Foundations of the Socio-Physical Model of Activities (SOMA) for Autonomous Robotic Agents1" (2021, Frontiers in artificial intelligence and applications)
  • "Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation" (2022, IEEE Robotics and Automation Letters)
  • "The CRAM Cognitive Architecture for Robot Manipulation in Everyday Activities" (2023, arXiv (Cornell University))
  • "Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments" (2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS))

Michael Beetz has also co-authored extensively with a set of frequent collaborators. These include:

  • Daniel Beßler
  • Mihai Pomarlan
  • Benjamin Alt
  • Darko Katić
  • Rainer Jäkel

In addition to journal and conference papers, Michael Beetz has published a book with Springer Nature titled Robotics for Intralogistics in Supermarkets and Retail Stores (2022).

Best Publications

  • Fast Point Feature Histograms (FPFH) for 3D registration

    Radu Bogdan Rusu;Nico Blodow;Michael Beetz

  • Towards 3D Point cloud based object maps for household environments

    Radu Bogdan Rusu;Zoltan Csaba Marton;Nico Blodow;Mihai Dolha

  • Aligning point cloud views using persistent feature histograms

    R.B. Rusu;N. Blodow;Z.C. Marton;M. Beetz

  • Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva

    Sebastian Thrun;Michael Beetz;Maren Bennewitz;Wolfram Burgard

  • RoboEarth - A World Wide Web for Robots

    Markus Waibel;Michael Beetz;Raffaello D'Andrea;Rob Janssen

  • KnowRob: A knowledge processing infrastructure for cognition-enabled robots

    Moritz Tenorth;Michael Beetz

  • KNOWROB — knowledge processing for autonomous personal robots

    Moritz Tenorth;Michael Beetz

  • Real-time compression of point cloud streams

    Julius Kammerl;Nico Blodow;Radu Bogdan Rusu;Suat Gedikli

  • On fast surface reconstruction methods for large and noisy point clouds

    Zoltan Csaba Marton;Radu Bogdan Rusu;Michael Beetz

  • Robotic roommates making pancakes

    Michael Beetz;Ulrich Klank;Ingo Kresse;Alexis Maldonado

  • Learning informative point classes for the acquisition of object model maps

    R.B. Rusu;Z.C. Marton;N. Blodow;M. Beetz

  • The TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition

    Moritz Tenorth;Jan Bandouch;Michael Beetz

  • Persistent Point Feature Histograms for 3D Point Clouds

    Radu Bogdan Rusu;Zoltan Csaba Marton;Nico Blodow;Michael Beetz

  • CRAM — A Cognitive Robot Abstract Machine for everyday manipulation in human environments

    Michael Beetz;Lorenz Mosenlechner;Moritz Tenorth

  • Close-range scene segmentation and reconstruction of 3D point cloud maps for mobile manipulation in domestic environments

    Radu Bogdan Rusu;Nico Blodow;Zoltan Csaba Marton;Michael Beetz

  • ORO, a knowledge management platform for cognitive architectures in robotics

    Severin Lemaignan;Raquel Ros;Lorenz Mosenlechner;Rachid Alami

  • Know Rob 2.0 — A 2nd Generation Knowledge Processing Framework for Cognition-Enabled Robotic Agents

    Michael Beetz;Daniel Bessler;Andrei Haidu;Mihai Pomarlan

  • Representations for robot knowledge in the KnowRob framework

    Moritz Tenorth;Michael Beetz

  • Fast-Switching Vis–IR Electrochromic Covalent Organic Frameworks

    Derya Bessinger;Katharina Muggli;Michael Beetz;Florian Auras

  • Cooperative probabilistic state estimation for vision-based autonomous mobile robots

    T. Schmitt;R. Hanek;M. Beetz;S. Buck

  • Model-based and learned semantic object labeling in 3D point cloud maps of kitchen environments

    Radu Bogdan Rusu;Zoltan Csaba Marton;Nico Blodow;Andreas Holzbach

Frequent Co-Authors

Zoltan-Csaba Marton
Zoltan-Csaba Marton Agile Robots AG
Radu Bogdan Rusu
Radu Bogdan Rusu Fyusion, Inc
Freek Stulp
Freek Stulp German Aerospace Center
Gordon Cheng
Gordon Cheng Technical University of Munich
Armin B. Cremers
Armin B. Cremers University of Bonn
Joachim Hertzberg
Joachim Hertzberg Osnabrück University
Martin Buss
Martin Buss Technical University of Munich
Kei Okada
Kei Okada University of Tokyo
Drew McDermott
Drew McDermott Yale University
Rachid Alami
Rachid Alami Laboratory for Analysis and Architecture of Systems

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