World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6220
World Ranking
8491
National Ranking
3632

C. Karen Liu 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 C. Karen Liu 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: 104 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

C. Karen Liu 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 C. Karen Liu 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

C. Karen Liu is a researcher affiliated with Stanford University in the United States, specializing in fields related to engineering and computer science, with a focus on robotics, human motion, and animation. Their work encompasses a broad range of topics within these disciplines, particularly emphasizing the integration of physics-based simulation and biomechanical modeling.

The main fields of study associated with C. Karen Liu include:

  • Engineering
  • Computer Science

Within these areas, notable subfields of study are:

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Biomedical Engineering
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Computational Mechanics

Their research topics cover a variety of focal points such as:

  • Human Motion and Animation
  • Human Pose and Action Recognition
  • Balance, Gait, and Falls Prevention
  • Muscle activation and electromyography studies
  • Prosthetics and Rehabilitation Robotics
  • 3D Shape Modeling and Analysis
  • Robot Manipulation and Learning

C. Karen Liu's publication record spans multiple distinguished venues, frequently contributing to:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ACM Transactions on Graphics
  • IEEE Robotics and Automation Letters
  • PLoS Computational Biology

Examples of recent papers authored or coauthored by C. Karen Liu include:

  • The Role of Physics-Based Simulators in Robotics, 2020, Annual Review of Control Robotics and Autonomous Systems
  • Sim2Real in Robotics and Automation: Applications and Challenges, 2021, IEEE Transactions on Automation Science and Engineering
  • From Skin to Skeleton: Towards Biomechanically Accurate 3D Digital Humans, 2023, ACM Transactions on Graphics
  • Object Motion Guided Human Motion Synthesis, 2023, ACM Transactions on Graphics
  • BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments, 2021, arXiv (Cornell University)

Their frequent coauthors include:

  • Scott L. Delp
  • Jiajun Wu
  • Steven H. Collins
  • Jiaman Li
  • Keenon Werling

C. Karen Liu contributes to interdisciplinary research bridging engineering, computer science, and biomedical domains, especially in areas related to the synthesis and analysis of human motion and robotics.

Best Publications

  • Iterative Training of Dynamic Skills Inspired by Human Coaching Techniques

    Sehoon Ha;C. Karen Liu

  • Learning physics-based motion style with nonlinear inverse optimization

    C. Karen Liu;Aaron Hertzmann;Zoran Popović

  • Synthesis of complex dynamic character motion from simple animations

    C. Karen Liu;Zoran Popović

  • DART: Dynamic Animation and Robotics Toolkit

    Jeongseok Lee;Michael X. Grey;Sehoon Ha;Tobias Kunz

  • Preparing for the Unknown: Learning a Universal Policy with Online System Identification

    Wenhao Yu;Jie Tan;C. Karen Liu;Greg Turk

  • Learning symmetric and low-energy locomotion

    Wenhao Yu;Greg Turk;C. Karen Liu

  • Learning Symmetry and Low-energy Locomotion

    Wenhao Yu;Greg Turk;C. Karen Liu

  • Deep Haptic Model Predictive Control for Robot-Assisted Dressing

    Zackory Erickson;Henry M. Clever;Greg Turk;C. Karen Liu

  • Sim2Real in Robotics and Automation: Applications and Challenges

    Sebastian Hofer;Kostas Bekris;Ankur Handa;Juan Camilo Gamboa

  • Optimization-based interactive motion synthesis

    Sumit Jain;Yuting Ye;C. Karen Liu

  • Synthesis of detailed hand manipulations using contact sampling

    Yuting Ye;C. Karen Liu

  • Momentum-based parameterization of dynamic character motion

    Yeuhi Abe;C. Karen Liu;Zoran Popović

  • Dextrous manipulation from a grasping pose

    C. Karen Liu

  • Optimal feedback control for character animation using an abstract model

    Yuting Ye;C. Karen Liu

  • Differential dynamic programming with nonlinear constraints

    Zhaoming Xie;C. Karen Liu;Kris Hauser

  • Articulated swimming creatures

    Jie Tan;Yuting Gu;Greg Turk;C. Karen Liu

  • Online control of simulated humanoids using particle belief propagation

    Perttu Hämäläinen;Joose Rajamäki;C. Karen Liu

  • Learning bicycle stunts

    Jie Tan;Yuting Gu;C. Karen Liu;Greg Turk

  • Composition of complex optimal multi-character motions

    C. Karen Liu;Aaron Hertzmann;Zoran Popović

  • Learning to dress: synthesizing human dressing motion via deep reinforcement learning

    Alexander Clegg;Wenhao Yu;Jie Tan;C. Karen Liu

  • Performance-based control interface for character animation

    Satoru Ishigaki;Timothy White;Victor B. Zordan;C. Karen Liu

  • Sim-to-Real Transfer for Biped Locomotion

    Wenhao Yu;Visak Cv Kumar;Greg Turk;C. Karen Liu

Frequent Co-Authors

Greg Turk
Greg Turk Georgia Institute of Technology
Charles C. Kemp
Charles C. Kemp Georgia Institute of Technology
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Zoran Popović
Zoran Popović University of Washington
Andrea L. Thomaz
Andrea L. Thomaz The University of Texas at Austin
Lena H. Ting
Lena H. Ting Emory University
Silvio Savarese
Silvio Savarese Stanford University
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Li Fei-Fei
Li Fei-Fei Stanford University
Jiajun Wu
Jiajun Wu Stanford University

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