World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4392
World Ranking
12719
National Ranking
621

Dongheui Lee 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 Dongheui Lee 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Dongheui Lee 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 Dongheui Lee 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Dongheui Lee is a researcher affiliated with the Technical University of Munich in Germany, contributing extensively to the fields of engineering and computer science. Their work spans several specialized subfields, including control and systems engineering, computer vision and pattern recognition, artificial intelligence, biomedical engineering, and industrial and manufacturing engineering.

Their research addresses a variety of topics focused primarily on robotics and machine learning. Key topics covered in their publications include robot manipulation and learning, human pose and action recognition, soft robotics and applications, balance, gait, and falls prevention, multimodal machine learning applications, robotic mechanisms and dynamics, and reinforcement learning in robotics.

Lee's recent papers demonstrate an emphasis on robotics control, human action anticipation, and automation frameworks. Notable recent publications include:

  • "Bilateral Teleoperation With Adaptive Impedance Control for Contact Tasks," 2021, IEEE Robotics and Automation Letters
  • "Refining Action Segmentation with Hierarchical Video Representations," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Safety-Aware Hierarchical Passivity-Based Variable Compliance Control for Redundant Manipulators," 2022, IEEE Transactions on Robotics
  • "Intention-Conditioned Long-Term Human Egocentric Action Anticipation," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "A human-cyber-physical system approach to lean automation using an industrie 4.0 reference architecture," 2020, Procedia Manufacturing

Frequent collaborators in Lee's research include Youssef Michel, Hyemin Ahn, Esteve Valls Mascaro, L. Johannsen, and Matteo Pantano.

Lee has published extensively in venues such as arXiv (Cornell University), IEEE Robotics and Automation Letters, IFAC-PapersOnLine, Scientific Reports, and the IEEE Engineering in Medicine & Biology Society conference.

In addition to articles, Lee has contributed to book publications, including a work titled The Mechanisms Underlying the Human Minimal Self, published by Frontiers Media in 2022.

Best Publications

  • Incremental learning of full body motion primitives and their sequencing through human motion observation

    Dana Kulić;Christian Ott;Dongheui Lee;Junichi Ishikawa

  • RGB-D SLAM in Dynamic Environments using Static Point Weighting

    Shile Li;Dongheui Lee

  • Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan;Guillermo Garcia-Hernando;Bjorn Stenger;Gyeongsik Moon

  • Incremental kinesthetic teaching of motion primitives using the motion refinement tube

    Dongheui Lee;Christian Ott

  • Real-time human motion tracking using multiple depth cameras

    Licong Zhang;Jurgen Sturm;Daniel Cremers;Dongheui Lee

  • Motion capture based human motion recognition and imitation by direct marker control

    C. Ott;Dongheui Lee;Y. Nakamura

  • An experience-driven robotic assistant acquiring human knowledge to improve haptic cooperation

    Jose Ramon Medina;Martin Lawitzky;Alexander Mortl;Dongheui Lee

  • Mimetic Communication Model with Compliant Physical Contact in Human-Humanoid Interaction

    Dongheui Lee;Christian Ott;Yoshihiko Nakamura

  • Kinesthetic teaching and attentional supervision of structured tasks in human–robot interaction

    Riccardo Caccavale;Matteo Saveriano;Alberto Finzi;Dongheui Lee;Dongheui Lee

  • Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer

    Shile Li;Dongheui Lee

  • Risk-Sensitive Optimal Feedback Control for Haptic Assistance

    Jose Ramon Medina;Dongheui Lee;Sandra Hirche

  • Development of a biped robot with torque controlled joints

    Christian Ott;Christoph Baumgartner;Johannes Mayr;Matthias Fuchs

  • Aligning Latent Spaces for 3D Hand Pose Estimation

    Linlin Yang;Shile Li;Dongheui Lee;Angela Yao

  • Learning task-parameterized dynamic movement primitives using mixture of GMMs

    Affan Pervez;Dongheui Lee

  • Discrete-Status-Based Localization for Indoor Service Robots

    Dongheui Lee;Woojin Chung

  • Bilateral Teleoperation With Adaptive Impedance Control for Contact Tasks

    Youssef Michel;Rahaf Rahal;Claudio Pacchierotti;Paolo Robuffo Giordano

  • A reliable position estimation method of the service robot by map matching

    Dongheui Lee;Woojin Chung;Munsang Kim

  • Refining Action Segmentation With Hierarchical Video Representations

    Hyemin Ahn;Dongheui Lee

  • Incremental motion primitive learning by physical coaching using impedance control

    Dongheui Lee;Christian Ott

  • Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction

    Anil Armagan;Guillermo Garcia-Hernando;Seungryul Baek;Seungryul Baek;Shreyas Hampali

  • Cross-modal visuo-tactile object recognition using robotic active exploration

    Pietro Falco;Shuang Lu;Andrea Cirillo;Ciro Natale

  • 3D Hand Pose Estimation: From Current Achievements to Future Goals

    Shanxin Yuan;Guillermo Garcia-Hernando;Björn Stenger;Gyeongsik Moon

  • An Experience-Driven Robotic Assistamt Acquiring Human Knowledge to Impruve Haptic Cooperation

    J.R. Medina-Hernández;M. Lawitzky;A. Mörtl;D. Lee

Frequent Co-Authors

Yoshihiko Nakamura
Yoshihiko Nakamura Mohamed bin Zayed University of Artificial Intelligence
Sandra Hirche
Sandra Hirche Technical University of Munich
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Pavlo Molchanov
Pavlo Molchanov Nvidia (United States)
Junsong Yuan
Junsong Yuan University at Buffalo, State University of New York
Dana Kulic
Dana Kulic Monash University
Dong-Soo Kwon
Dong-Soo Kwon Korea Advanced Institute of Science and Technology
Jee-Hwan Ryu
Jee-Hwan Ryu Korea Advanced Institute of Science and Technology
Ciro Natale
Ciro Natale University of Campania "Luigi Vanvitelli"

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