World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
14418
World Ranking
3082
National Ranking
53

David Hsu 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 David Hsu 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: 172 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

David Hsu 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 David Hsu 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.

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to robot motion planning

Overview

David Hsu is affiliated with the National University of Singapore in Singapore. Their research focuses on the fields of Computer Science and Engineering, with significant contributions in Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering, and Aerospace Engineering.

The scientist's work centers around topics such as Reinforcement Learning in Robotics, Robotic Path Planning Algorithms, Multimodal Machine Learning Applications, Robot Manipulation and Learning, Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization, and Speech and Dialogue Systems.

David Hsu has published extensively, with a notable volume appearing on arXiv (Cornell University). Other frequent publication venues include The International Journal of Robotics Research, IEEE Transactions on Robotics, the 2022 International Conference on Robotics and Automation (ICRA), and IEEE Robotics & Automation Magazine.

  • Trust-Aware Decision Making for Human-Robot Collaboration (2020), ACM Transactions on Human-Robot Interaction
  • Partially Observable Markov Decision Processes in Robotics: A Survey (2022), IEEE Transactions on Robotics
  • INGRESS: Interactive visual grounding of referring expressions (2020), The International Journal of Robotics Research
  • Particle Filter Recurrent Neural Networks (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty (2020), The International Journal of Robotics Research

The scientist has collaborated frequently with a number of researchers. These include Panpan Cai, Wee Sun Lee, Cunjun Yu, Xiao Ma, and Yuanfu Luo.

David Hsu was awarded the IEEE Fellow distinction in 2018 for contributions to robot motion planning.

Best Publications

  • PATH PLANNING IN EXPANSIVE CONFIGURATION SPACES

    David Hsu;Jean-Claude Latombe;Rajeev Motwani

  • SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

    Hanna Kurniawati;David Hsu;Wee Sun Lee

  • Randomized Kinodynamic Motion Planning with Moving Obstacles

    David Hsu;Robert Kindel;Jean-Claude Latombe;Stephen M. Rock

  • OpenComet: an automated tool for comet assay image analysis.

    Benjamin M. Gyori;Gireedhar Venkatachalam;P.S. Thiagarajan;David Hsu

  • On finding narrow passages with probabilistic roadmap planners

    David Hsu;Lydia E. Kavraki;Jean-Claude Latombe;Rajeev Motwani

  • The bridge test for sampling narrow passages with probabilistic roadmap planners

    D. Hsu;Tingting Jiang;J. Reif;Zheng Sun

  • DESPOT: Online POMDP Planning with Regularization

    Adhiraj Somani;Nan Ye;David Hsu;Wee Sun Lee

  • Intention-aware online POMDP planning for autonomous driving in a crowd

    Haoyu Bai;Shaojun Cai;Nan Ye;David Hsu

  • On the Probabilistic Foundations of Probabilistic Roadmap Planning

    David Hsu;Jean-Claude Latombe;Hanna Kurniawati

  • Planning under Uncertainty for Robotic Tasks with Mixed Observability

    Sylvie C. W. Ong;Shao Wei Png;David Hsu;Wee Sun Lee

  • Intention-Aware Motion Planning

    Tirthankar Bandyopadhyay;Kok Sung Won;Emilio Frazzoli;David Hsu

  • Planning with Trust for Human-Robot Collaboration

    Min Chen;Stefanos Nikolaidis;Harold Soh;David Hsu

  • Studies of a Next Generation Silicon-Photomultiplier-Based Time-of-Flight PET/CT System

    David F.C. Hsu;Ezgi Ilan;William T. Peterson;Jorge Uribe

  • PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians

    Yuanfu Luo;Panpan Cai;Aniket Bera;David Hsu

  • Narrow passage sampling for probabilistic roadmap planning

    Zheng Sun;D. Hsu;Tingting Jiang;H. Kurniawati

  • Motion planning under uncertainty for robotic tasks with long time horizons

    Hanna Kurniawati;Yanzhu Du;David Hsu;Wee Sun Lee

  • Human-robot mutual adaptation in collaborative tasks: Models and experiments.

    Stefanos Nikolaidis;David Hsu;Siddhartha S. Srinivasa

  • Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.

    Mehmet Serkan Apaydin;Douglas L. Brutlag;Carlos Guestrin;David Hsu

  • DESPOT: Online POMDP Planning with Regularization

    Nan Ye;Adhiraj Somani;David Hsu;Wee Sun Lee

  • Kinodynamic motion planning amidst moving obstacles

    R. Kindel;D. Hsu;J.-C. Latombe;S. Rock

  • Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy

    D. Hsu;G. Sanchez-Ante;Zheng Sun

Frequent Co-Authors

Wee Sun Lee
Wee Sun Lee National University of Singapore
Jean-Claude Latombe
Jean-Claude Latombe Stanford University
P. S. Thiagarajan
P. S. Thiagarajan Harvard University
Paul D. Reynolds
Paul D. Reynolds Aston University
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Marcelo H. Ang
Marcelo H. Ang National University of Singapore
Douglas L. Brutlag
Douglas L. Brutlag Stanford University
Bing Liu
Bing Liu University of Illinois at Chicago

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 Computer Science in the USA opens doors to many related online degrees and career options in STEM fields. If you’re seeking flexibility, pursuing a computer science degree online is a popular way to build foundational technical skills from anywhere. These programs offer accelerated paths to graduation while maintaining the same high standards as traditional on-campus courses.

Those interested in interdisciplinary roles might consider an environmental engineering bachelor's degree online. This path is ideal for students passionate about sustainability and developing solutions to environmental challenges using technology.

Mechanical engineering is another closely related field in demand across industries. While exploring options, prospective students often compare the mechanical engineering cost of education to make informed decisions that balance quality and affordability.

For those drawn to theoretical problem-solving, the cheapest online physics degree offers access to a rigorous but cost-effective STEM education. Each of these online degrees can help launch or advance a rewarding career in science, technology, or engineering.

Best Scientists Citing David Hsu

Trending Scientists

Recently Published Articles