World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7090
World Ranking
10139
National Ranking
4274

Matthew R. Walter 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 Matthew R. Walter 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Matthew R. Walter 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 Matthew R. Walter 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Matthew R. Walter is affiliated with the Toyota Technological Institute at Chicago in the United States. Their research spans multiple domains within computer science and engineering, with a focus on applied robotics and artificial intelligence.

The scientist's main fields of study include:

  • Computer Science
  • Engineering

Matthew's work is concentrated in the following subfields:

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

The main research topics covered by Matthew include:

  • Reinforcement Learning in Robotics
  • Multimodal Machine Learning Applications
  • Robot Manipulation and Learning
  • Topic Modeling
  • Advanced Vision and Imaging
  • Modular Robots and Swarm Intelligence
  • Robotic Path Planning Algorithms

Among the recent papers authored or co-authored by Matthew are:

  • "Boosting Contrastive Self-Supervised Learning with False Negative Cancellation" (2022), published at the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Multimodal estimation and communication of latent semantic knowledge for robust execution of robot instructions" (2020), published in The International Journal of Robotics Research
  • "Self-Supervised Camera Self-Calibration from Video" (2022), presented at the 2022 International Conference on Robotics and Automation (ICRA)
  • "Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation" (2021), available via arXiv (Cornell University)
  • "Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation" (2023), published in Science Robotics

Frequently, Matthew collaborates with the following coauthors:

  • Takuma Yoneda
  • Jiading Fang
  • Charles Schaff
  • Igor Vasiljevic
  • Vitor Guizilini

In terms of publication venues, Matthew has contributed extensively to:

  • arXiv (Cornell University)
  • Field Robotics
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • The International Journal of Robotics Research
  • 2022 International Conference on Robotics and Automation (ICRA)

Best Publications

  • Anytime Motion Planning using the RRT

    Sertac Karaman;Matthew R. Walter;Alejandro Perez;Emilio Frazzoli

  • Understanding natural language commands for robotic navigation and mobile manipulation

    Stefanie Tellex;Thomas Kollar;Steven Dickerson;Matthew R. Walter

  • A perception-driven autonomous urban vehicle

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • A Perception Driven Autonomous Urban Robot

    John Leonard;Jonathan How;Seth Teller;Mitch Berger

  • Visually Navigating the RMS Titanic with SLAM Information Filters

    Ryan Eustice;Hanumant Singh;John J. Leonard;Matthew R. Walter

  • What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

    Hongyuan Mei;Mohit Bansal;Matthew R. Walter

  • Exactly Sparse Extended Information Filters for Feature-based SLAM

    Matthew R. Walter;Ryan M. Eustice;John J. Leonard

  • Consistent cooperative localization

    Alexander Bahr;Matthew R. Walter;John J. Leonard

  • Listen, attend, and walk: neural mapping of navigational instructions to action sequences

    Hongyuan Mei;Mohit Bansal;Matthew R. Walter

  • Visually Mapping the RMS Titanic: Conservative Covariance Estimates for SLAM Information Filters

    Ryan M. Eustice;Hanumant Singh;John J. Leonard;Matthew R. Walter

  • Approaching the Symbol-Grounding Problem with Probabilistic Graphical Models

    Stefanie A. Tellex;Thomas Fleming Kollar;Steven R. Dickerson;Matthew R. Walter

  • Reachability-guided sampling for planning under differential constraints

    Alexander Shkolnik;Matthew Walter;Russ Tedrake

  • Learning Semantic Maps from Natural Language Descriptions.

    Matthew R. Walter;Sachithra Hemachandra;Bianca Homberg;Stefanie Tellex

  • Boosting Contrastive Self-Supervised Learning with False Negative Cancellation.

    Tri Huynh;Simon Kornblith;Matthew R. Walter;Michael Maire

  • Sparse extended information filters: insights into sparsification

    R. Eustice;M. Walter;J. Leonard

  • SLAM for ship hull inspection using exactly sparse extended information filters

    M. Walter;F. Hover;J. Leonard

  • Single-Cluster Spectral Graph Partitioning for Robotics Applications

    Edwin Olson;Matthew R. Walter;Seth J. Teller;John J. Leonard

  • Coherent Dialogue with Attention-Based Language Models

    Hongyuan Mei;Mohit Bansal;Matthew R. Walter

  • A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments

    Seth Teller;Matthew R. Walter;Matthew Antone;Andrew Correa

  • Learning models for following natural language directions in unknown environments

    Sachithra Hemachandra;Felix Duvallet;Thomas M. Howard;Nicholas Roy

  • DIODE: A Dense Indoor and Outdoor DEpth Dataset.

    Igor Vasiljevic;Nicholas I. Kolkin;Shanyi Zhang;Ruotian Luo

  • Asymptotically-optimal path planning for manipulation using incremental sampling-based algorithms

    Alejandro Perez;Sertac Karaman;Alexander Shkolnik;Emilio Frazzoli

Frequent Co-Authors

Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Stefanie Tellex
Stefanie Tellex Brown University
Anthony Stentz
Anthony Stentz Carnegie Mellon University
Ryan M. Eustice
Ryan M. Eustice University of Michigan–Ann Arbor

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