World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6612
World Ranking
8469
National Ranking
3621

Byron Boots 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 Byron Boots 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Byron Boots 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 Byron Boots 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

Byron Boots is affiliated with the University of Washington in the United States. Their research activity spans multiple areas within computer science and engineering, with a substantial focus on robotics and machine learning.

The primary fields of study for Byron Boots include:

  • Computer Science
  • Engineering

Their work is concentrated in several subfields, such as:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Aerospace Engineering

Within these domains, the main topics of Byron Boots' research encompass:

  • Robot Manipulation and Learning
  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Robotic Locomotion and Control
  • Advanced Control Systems Optimization
  • Robotic Mechanisms and Dynamics
  • Machine Learning and Algorithms

Byron Boots has published frequently in several respected venues. The most common publication platforms include:

  • arXiv (Cornell University), with 57 publications
  • Zenodo (CERN European Organization for Nuclear Research), 6 publications
  • IEEE Robotics and Automation Letters, 3 publications
  • 2022 International Conference on Robotics and Automation (ICRA), 3 publications
  • Neurocomputing, 1 publication

Recent papers authored by Byron Boots include:

  • "Combining pretrained CNN feature extractors to enhance clustering of complex natural images," 2020, Neurocomputing
  • "RMPflow: A Geometric Framework for Generation of Multitask Motion Policies," 2021, IEEE Transactions on Automation Science and Engineering
  • "Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior," 2022, IEEE Robotics and Automation Letters
  • "Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion," 2020, arXiv (Cornell University)
  • "STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation," 2021, arXiv (Cornell University)

Byron Boots frequently collaborates with other researchers, with the most common co-authors being:

  • Dieter Fox, 20 joint publications
  • Nathan Ratliff, 13 joint publications
  • Mustafa Mukadam, 10 joint publications
  • Ching-An Cheng, 9 joint publications
  • Bryan Peele, 9 joint publications

Best Publications

  • One-Shot Learning for Semantic Segmentation

    Amirreza Shaban;Shray Bansal;Zhen Liu;Irfan Essa

  • Information theoretic MPC for model-based reinforcement learning

    Grady Williams;Nolan Wagener;Brian Goldfain;Paul Drews

  • Agile Autonomous Driving using End-to-End Deep Imitation Learning

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • Closing the learning-planning loop with predictive state representations

    Byron Boots;Sajid M Siddiqi;Geoffrey J Gordon

  • Hilbert Space Embeddings of Hidden Markov Models

    Le Song;Byron Boots;Sajid M. Siddiqi;Geoffrey J. Gordon

  • Continuous-time Gaussian process motion planning via probabilistic inference

    Mustafa Mukadam;Jing Dong;Xinyan Yan;Frank Dellaert

  • Deeply AggreVaTeD: differentiable imitation learning for sequential prediction

    Wen Sun;Arun Venkatraman;Geoffrey J. Gordon;Byron Boots

  • Differentiable MPC for End-to-end Planning and Control

    Brandon Amos;Ivan Jimenez;Jacob Sacks;Byron Boots

  • A Constraint Generation Approach to Learning Stable Linear Dynamical Systems

    Byron Boots;Geoffrey J. Gordon;Sajid M. Siddiqi

  • Gaussian Process Motion planning

    Mustafa Mukadam;Xinyan Yan;Byron Boots

  • Reduced-Rank Hidden Markov Models

    Sajid M. Siddiqi;Byron Boots;Geoffrey J. Gordon

  • Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs

    Jing Dong;Mustafa Mukadam;Frank Dellaert;Byron Boots

  • Imitation learning for agile autonomous driving

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • 4D crop monitoring: Spatio-temporal reconstruction for agriculture

    Jing Dong;John Gary Burnham;Byron Boots;Glen Rains

  • Differentiable MPC for End-to-end Planning and Control

    Brandon Amos;Ivan Dario Jimenez Rodriguez;Jacob Sacks;Byron Boots

  • Learning from Conditional Distributions via Dual Embeddings

    Bo Dai;Niao He;Niao He;Yunpeng Pan;Byron Boots

  • Truncated Back-propagation for Bilevel Optimization

    Amirreza Shaban;Ching-An Cheng;Nathan Hatch;Byron Boots

  • An online spectral learning algorithm for partially observable nonlinear dynamical systems

    Byron Boots;Geoffrey J. Gordon

  • Hilbert Space Embeddings of Predictive State Representations

    Byron Boots;Geoffrey Gordon;Arthur Gretton

  • Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning.

    Muhammad Asif Rana;Mustafa Mukadam;Seyed Reza Ahmadzadeh;Sonia Chernova

  • RMP-flow: A Computational Graph for Automatic Motion Policy Generation

    Ching-An Cheng;Mustafa Mukadam;Jan Issac;Stan Birchfield

  • IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data

    Ajay Mandlekar;Fabio Ramos;Byron Boots;Silvio Savarese

  • Provably Efficient Imitation Learning from Observation Alone.

    Wen Sun;Anirudh Vemula;Byron Boots;Drew Bagnell

Frequent Co-Authors

Geoffrey J. Gordon
Geoffrey J. Gordon Carnegie Mellon University
Dieter Fox
Dieter Fox University of Washington
Wen Sun
Wen Sun Cornell University
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
J. Andrew Bagnell
J. Andrew Bagnell Carnegie Mellon University
Evangelos A. Theodorou
Evangelos A. Theodorou Georgia Institute of Technology
Fabio Ramos
Fabio Ramos University of Sydney
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Richard Hartley
Richard Hartley Australian National University
Stan Birchfield
Stan Birchfield Nvidia (United States)

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