World's Best Scientists 2026 revealed!
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Computer Science
USA
2026
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Computer Science

D-Index
130
Citations
80517
World Ranking
99
National Ranking
61

Electronics and Electrical Engineering

D-Index
121
Citations
74145
World Ranking
60
National Ranking
32

Dieter Fox publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Dieter Fox sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 348 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Dieter Fox D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Dieter Fox sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 121 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2020 - ACM Fellow For contributions to probabilistic state estimation, RGB-D perception, and learning for robotics and computer vision
  • 2015 - IEEE Fellow For contributions to Bayesian state estimation and robotic perception

Overview

Dieter Fox is affiliated with the University of Washington in the United States and has published extensively in the fields of computer science and engineering. Their research primarily focuses on robotics, computer vision, and machine learning, with numerous contributions to robotic manipulation, reinforcement learning, and sensor-based localization.

Their recent publications include:

  • Deep Learning Approaches to Grasp Synthesis: A Review, 2023, IEEE Transactions on Robotics
  • PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking, 2021, IEEE Transactions on Robotics
  • Sim2Real in Robotics and Automation: Applications and Challenges, 2021, IEEE Transactions on Automation Science and Engineering
  • Unseen Object Instance Segmentation for Robotic Environments, 2021, IEEE Transactions on Robotics
  • CLIPort: What and Where Pathways for Robotic Manipulation, 2021, arXiv (Cornell University)

Their frequent co-authors include:

  • Arsalan Mousavian
  • Yashraj Narang
  • Fábio Ramos
  • Balakumar Sundaralingam
  • Chris Paxton

Dieter Fox has contributed to multiple publication venues with the highest number of publications appearing in the following:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Robotics
  • 2022 International Conference on Robotics and Automation (ICRA)

Their main fields of study are computer science and engineering. Within these areas, the subfields of focus include:

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

Dieter Fox's research topics cover a range of areas in robotics and machine learning, such as:

  • Robot Manipulation and Learning
  • Multimodal Machine Learning Applications
  • Reinforcement Learning in Robotics
  • Human Pose and Action Recognition
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications

Throughout their career, Dieter Fox has been recognized with awards including:

  • ACM Fellow, 2020, for contributions to probabilistic state estimation, RGB-D perception, and learning for robotics and computer vision
  • IEEE Fellow, 2015, for contributions to Bayesian state estimation and robotic perception

Best Publications

  • The dynamic window approach to collision avoidance

    D. Fox;W. Burgard;S. Thrun

  • Robust Monte Carlo localization for mobile robots

    Sebastian Thrun;Dieter Fox;Wolfram Burgard;Frank Dallaert

  • Monte Carlo localization for mobile robots

    F. Dellaert;D. Fox;W. Burgard;S. Thrun

  • Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

    Yu Xiang;Tanner Schmidt;Venkatraman Narayanan;Dieter Fox

  • A large-scale hierarchical multi-view RGB-D object dataset

    Kevin Lai;Liefeng Bo;Xiaofeng Ren;Dieter Fox

  • Monte Carlo localization: efficient position estimation for mobile robots

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

  • RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments

    Peter Henry;Michael Krainin;Evan Herbst;Xiaofeng Ren

  • Markov localization for mobile robots in dynamic environments

    Dieter Fox;Wolfram Burgard;Sebastian Thrun

  • A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots

    Sebastian Thrun;Wolfram Burgard;Dieter Fox

  • RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments

    Peter Henry;Michael Krainin;Evan Herbst;Xiaofeng Ren

  • Inferring activities from interactions with objects

    M. Philipose;K.P. Fishkin;M. Perkowitz;D.J. Patterson

  • Experiences with an interactive museum tour-guide robot

    Wolfram Burgard;Armin B. Cremers;Dieter Fox;Dirk Hähnel

  • Learning and inferring transportation routines

    Lin Liao;Donald J. Patterson;Dieter Fox;Henry Kautz

  • MINERVA: a second-generation museum tour-guide robot

    S. Thrun;M. Bennewitz;W. Burgard;A.B. Cremers

  • Collaborative multi-robot exploration

    W. Burgard;M. Moors;D. Fox;R. Simmons

  • Bayesian filtering for location estimation

    V. Fox;J. Hightower;Lin Liao;D. Schulz

  • A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping

    S. Thrun;W. Burgard;D. Fox

  • DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time

    Richard A. Newcombe;Dieter Fox;Steven M. Seitz

  • Mapping and localization with RFID technology

    D. Hahnel;W. Burgard;D. Fox;K. Fishkin

  • Monte Carlo Localization

    Dieter Fox;Wolfram Burgard;Frank Dellaert;Sebastian Thrun

Frequent Co-Authors

Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Sebastian Thrun
Sebastian Thrun Stanford University
Liefeng Bo
Liefeng Bo Alibaba Group (United States)
Xiaofeng Ren
Xiaofeng Ren Alibaba Group (China)
Dirk Schulz
Dirk Schulz TU Dortmund University
Armin B. Cremers
Armin B. Cremers University of Bonn
Henry Kautz
Henry Kautz University of Virginia
Byron Boots
Byron Boots University of Washington
Kurt Konolige
Kurt Konolige Google (United States)
Ali Farhadi
Ali Farhadi University of Washington

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