World's Best Scientists 2026 revealed!
Tomas Lozano-Perez

Tomas Lozano-Perez

D-Index & Metrics

Computer Science

D-Index
66
Citations
32512
World Ranking
2254
National Ranking
1125

Tomas Lozano-Perez 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 Tomas Lozano-Perez 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: 224 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Tomas Lozano-Perez 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 Tomas Lozano-Perez 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: 66 D-Index — 84th percentile

84% 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

  • 2021 - IEEE Robotics & Automation Award “For foundational contributions to robot motion planning and visionary leadership of the field.”
  • 2017 - ACM Fellow For contributions to robotics, and motion planning, geometric algorithms, and their applications

Overview

Tomas Lozano-Perez is affiliated with MIT in the United States and primarily works in the field of Computer Science. Their research spans multiple subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications, and Aerospace Engineering.

Their scientific contributions focus on a range of topics such as AI-based Problem Solving and Planning, Robotic Path Planning Algorithms, Robot Manipulation and Learning, Reinforcement Learning in Robotics, Machine Learning and Algorithms, Multimodal Machine Learning Applications, and Robotics and Sensor-Based Localization.

Among the recent published papers authored or co-authored by Tomas Lozano-Perez are:

  • "PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning" (2020) published in Proceedings of the International Conference on Automated Planning and Scheduling
  • "Learning compositional models of robot skills for task and motion planning" (2021) published in The International Journal of Robotics Research
  • "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks" (2021) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances" (2022) published in 2022 International Conference on Robotics and Automation (ICRA)
  • "From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence" (2021) published on arXiv (Cornell University)

Frequent co-authors include Leslie Pack Kaelbling, Joshua B. Tenenbaum, Tom Silver, Rohan Chitnis, and Aidan Curtis.

The most common venues for Tomas Lozano-Perez's publications are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • The International Journal of Robotics Research
  • 2022 International Conference on Robotics and Automation (ICRA)
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Tomas Lozano-Perez has received recognition in their field, including the IEEE Robotics & Automation Award in 2021 for contributions to robot motion planning and visionary leadership, as well as being named an ACM Fellow in 2017 for contributions to robotics, motion planning, geometric algorithms, and their applications.

Best Publications

  • Solving the multiple instance problem with axis-parallel rectangles

    Thomas G. Dietterich;Richard H. Lathrop;Tomás Lozano-Pérez

  • Spatial planning: a configuration space approach

    T. Lozano-Pérez

  • An algorithm for planning collision-free paths among polyhedral obstacles

    Tomás Lozano-Pérez;Michael A. Wesley

  • A Framework for Multiple-Instance Learning

    Oded Maron;Tomás Lozano-Pérez

  • Automatic synthesis of fine-motion strategies for robots

    Tomás Lozano-pérez;Matthew T. Mason;Russell H. Taylor

  • Automatic Planning of Manipulator Transfer Movements

    Tomas Lozano-Perez

  • A subdivision algorithm in configuration space for findpath with rotation

    R. A. Brooks;T. Lozano-Perez

  • Model-based recognition and localization from sparse range or tactile data

    W. Eric;L. Grimson;Tomas Lozano-Perez

  • A simple motion-planning algorithm for general robot manipulators

    T. Lozano-Perez

  • On multiple moving objects

    M. Erdmann;T. Lozano-Perez

  • Robot Motion: Planning and Control

    Michale Brady;John M. Hollerbach;Timothy L. Johnson;Matthew T. Mason

  • Localizing Overlapping Parts by Searching the Interpretation Tree

    W. Eric L. Grimson;Tomas Lozano-Perez

  • An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization

    W.E.L. Grimson;G.J. Ettinger;S.J. White;T. Lozano-Perez

  • Hierarchical task and motion planning in the now

    Leslie Pack Kaelbling;Tomas Lozano-Perez

  • Hierarchical Planning in the Now

    Leslie Pack Kaelbling;Tomás Lozano-Pérez

  • System and method of registration of three-dimensional data sets including anatomical body data

    W. Eric L. Grimson;Steven J. White;Gil J. Ettinger;William M. Wells

  • Robot programming

    T. Lozano-Perez

  • An automatic registration method for frameless stereotaxy, image guided surgery, and enhanced reality visualization

    Unknown

  • Integrated task and motion planning in belief space

    Leslie Pack Kaelbling;Tomás Lozano-Pérez

  • Belief space planning assuming maximum likelihood observations

    Robert Platt;Russell Louis Tedrake;Leslie P. Kaelbling;Tomas Lozano-Perez

  • From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning

    George Dimitri Konidaris;Leslie Pack Kaelbling;Tomás Lozano-Pérez

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