World's Best Scientists 2026 revealed!
Timothy D. Barfoot

Timothy D. Barfoot

D-Index & Metrics

Computer Science

D-Index
48
Citations
11184
World Ranking
6113
National Ranking
240

Timothy D. Barfoot 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 Timothy D. Barfoot 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Timothy D. Barfoot 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 Timothy D. Barfoot sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Timothy D. Barfoot is affiliated with the University of Toronto in Canada. Their research spans the fields of Engineering and Computer Science, with a particular focus on Aerospace Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Automotive Engineering.

Barfoot's main research topics include Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Target Tracking and Data Fusion in Sensor Networks, Autonomous Vehicle Technology and Safety, Gaussian Processes and Bayesian Inference, Remote Sensing and LiDAR Applications, and Indoor and Outdoor Localization Technologies.

Among recent publications, Barfoot has contributed to:

  • Boreas: A multi-season autonomous driving dataset, 2023, The International Journal of Robotics Research
  • Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization?, 2022, IEEE Robotics and Automation Letters
  • A New Wave in Robotics: Survey on Recent MmWave Radar Applications in Robotics, 2024, IEEE Transactions on Robotics
  • Continuum robot state estimation using Gaussian process regression on SE(3), 2022, The International Journal of Robotics Research
  • Keeping an Eye on Things: Deep Learned Features for Long-Term Visual Localization, 2021, IEEE Robotics and Automation Letters

Frequent coauthors of Barfoot include:

  • Angela P. Schoellig (23 publications)
  • David J. Yoon (21 publications)
  • Keenan Burnett (20 publications)
  • Frederike Dümbgen (19 publications)
  • Hugues Thomas (12 publications)

The researcher has published extensively in venues such as:

  • arXiv (Cornell University) with 72 publications
  • IEEE Robotics and Automation Letters with 17 publications
  • IEEE Transactions on Robotics with 10 publications
  • The International Journal of Robotics Research with 4 publications
  • Robotica with 4 publications

Barfoot is also the author of the book State Estimation for Robotics, published by Cambridge University Press in 2024, which has earned attention in academic circles.

Best Publications

  • Informed RRT*: Optimal Sampling-based Path Planning Focused via Direct Sampling of an Admissible Ellipsoidal Heuristic

    Jonathan D. Gammell;Siddhartha S. Srinivasa;Timothy D. Barfoot

  • State Estimation for Robotics

    Timothy D. Barfoot

  • Batch Informed Trees (BIT*): Sampling-based optimal planning via the heuristically guided search of implicit random geometric graphs

    Jonathan D. Gammell;Siddhartha S. Srinivasa;Timothy D. Barfoot

  • Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems

    Timothy D. Barfoot;Paul T. Furgale

  • Learning-based Nonlinear Model Predictive Control to Improve Vision-based Mobile Robot Path Tracking

    Chris J. Ostafew;Angela P. Schoellig;Timothy D. Barfoot;Jack Collier

  • Visual teach and repeat for long-range rover autonomy

    Paul Furgale;Timothy D. Barfoot

  • Traffic management system for a passageway environment

    Timothy D. Barfoot;Joshua A. Marshall

  • Continuous-time batch estimation using temporal basis functions

    Paul Furgale;Timothy D. Barfoot;Gabe Sibley

  • Motion planning for formations of mobile robots

    Tim D. Barfoot;Christopher M. Clark

  • Robust Constrained Learning-based NMPC enabling reliable mobile robot path tracking

    Chris J. Ostafew;Angela P. Schoellig;Timothy D. Barfoot

  • Batch Informed Trees (BIT*): Informed asymptotically optimal anytime search

    Jonathan D Gammell;Timothy D Barfoot;Siddhartha S Srinivasa

  • Informed Sampling for Asymptotically Optimal Path Planning

    Jonathan D. Gammell;Timothy D. Barfoot;Siddhartha S. Srinivasa

  • Learning-based nonlinear model predictive control to improve vision-based mobile robot path-tracking in challenging outdoor environments

    Chris J. Ostafew;Angela P. Schoellig;Timothy D. Barfoot

  • Informed Sampling for Asymptotically Optimal Path Planning (Consolidated Version)

    Jonathan D Gammell;Timothy D Barfoot;Siddhartha S Srinivasa

  • Decentralized Localization of Sparsely-Communicating Robot Networks: A Centralized-Equivalent Approach

    K.Y.K. Leung;T.D. Barfoot;H. Liu

  • Online visual motion estimation using FastSLAM with SIFT features

    T.D. Barfoot

  • Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression

    Tim D. Barfoot;Chi Hay Tong;Simo Särkkä

  • Autonomous underground tramming for center-articulated vehicles

    Joshua Marshall;Timothy Barfoot;Johan Larsson

  • Regionally accelerated batch informed trees (RABIT*): A framework to integrate local information into optimal path planning

    Sanjiban Choudhury;Jonathan D. Gammell;Timothy D. Barfoot;Siddhartha S. Srinivasa

  • The UTIAS multi-robot cooperative localization and mapping dataset

    Keith Yk Leung;Yoni Halpern;Timothy D Barfoot;Hugh Ht Liu

  • Experimental and simulation results of wheel-soil interaction for planetary rovers

    R. Bauer;W. Leung;T. Barfoot

  • Full STEAM ahead: Exactly sparse gaussian process regression for batch continuous-time trajectory estimation on SE(3)

    Sean Anderson;Timothy D. Barfoot

Frequent Co-Authors

Paul Furgale
Paul Furgale ETH Zurich
Gordon R. Osinski
Gordon R. Osinski University of Western Ontario
Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Livio L. Tornabene
Livio L. Tornabene University of Western Ontario
Edward A. Cloutis
Edward A. Cloutis University of Winnipeg
Paul J. Sylvester
Paul J. Sylvester Texas Tech University
Clive Dickinson
Clive Dickinson University of Manchester
David Wettergreen
David Wettergreen Carnegie Mellon University
Steven L. Waslander
Steven L. Waslander University of Toronto
Bruce A. Francis
Bruce A. Francis University of Toronto

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