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

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
104
Citations
38464
World Ranking
152
National Ranking
74

Computer Science

D-Index
104
Citations
38682
World Ranking
314
National Ranking
173

Gaurav S. Sukhatme 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 Gaurav S. Sukhatme 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: 445 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: 691 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Gaurav S. Sukhatme 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 Gaurav S. Sukhatme sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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: 104 D-Index — 98th percentile

98% 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 Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2018 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions in developing novel techniques for designing and understanding large-scale, distributed, networked robotic systems.
  • 2011 - IEEE Fellow For contributions to multi-robot systems

Overview

Gaurav S. Sukhatme is affiliated with the University of Southern California in the United States. Their research spans multiple areas within computer science and engineering, with significant work in artificial intelligence, computer vision and pattern recognition, control and systems engineering, computer networks and communications, and aerospace engineering.

Their recent publications include:

  • Open X-Embodiment: Robotic Learning Datasets and RT-X Models, 2023, arXiv (Cornell University)
  • A Roadmap for US Robotics - From Internet to Robotics 2020 Edition, 2021, Foundations and Trends in Robotics
  • Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots, 2021, IEEE Robotics and Automation Letters
  • Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning, 2020, arXiv (Cornell University)
  • Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems, 2021, arXiv (Cornell University)

Their co-authors with frequent collaborations consist of Govind Thattai, Christopher E. Denniston, Qiaozi Gao, Eric Heiden, and Ragesh K. Ramachandran.

Gaurav S. Sukhatme publishes extensively in venues including:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • IEEE Transactions on Robotics
  • The International Journal of Robotics Research

Their main fields of study cover computer science and engineering, with subfields focusing on artificial intelligence, computer vision and pattern recognition, control and systems engineering, computer networks and communications, and aerospace engineering.

Research topics primarily include:

  • Reinforcement Learning in Robotics
  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Distributed Control Multi-Agent Systems

Recognitions awarded to Gaurav S. Sukhatme include being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2018 for developing novel techniques in large-scale distributed networked robotic systems, and IEEE Fellow in 2011 for contributions to multi-robot systems.

Best Publications

  • Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem

    Andrew Howard;Maja J. Matarić;Gaurav S. Sukhatme

  • Connecting the physical world with pervasive networks

    D. Estrin;D. Culler;K. Pister;G. Sukhatme

  • An Incremental Self-Deployment Algorithm for Mobile Sensor Networks

    Andrew Howard;Maja J. Matarić;Gaurav S. Sukhatme

  • Robomote: Enabling mobility in sensor networks

    K. Dantu;M. Rahimi;H. Shah;S. Babel

  • Constrained coverage for mobile sensor networks

    S. Poduri;G.S. Sukhatme

  • Visually-Guided Landing of an Unmanned Aerial Vehicle

    Srikanth Saripalli;James F. Montgomery;Gaurav S. Sukhatme

  • Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration

    Jonathan Kelly;Gaurav S Sukhatme

  • Most valuable player: a robot device server for distributed control

    B.P. Gerkey;R.T. Vaughan;K. Stoy;A. Howard

  • Robomote: a tiny mobile robot platform for large-scale ad-hoc sensor networks

    G.T. Sibley;M.H. Rahimi;G.S. Sukhatme

  • Studying the feasibility of energy harvesting in a mobile sensor network

    M. Rahimi;H. Shah;G.S. Sukhatme;J. Heideman

  • Vision-based autonomous landing of an unmanned aerial vehicle

    S. Saripalli;J.F. Montgomery;G.S. Sukhatme

  • Multiple Mobile Robot Systems

    Lynne E. Parker;Daniela Rus;Gaurav S. Sukhatme

  • Crazyswarm: A large nano-quadcopter swarm

    James A. Preiss;Wolfgang Honig;Gaurav S. Sukhatme;Nora Ayanian

  • Coverage, Exploration and Deployment by a Mobile Robot and Communication Network

    Maxim A. Batalin;Gaurav S. Sukhatme

  • Interactive Perception: Leveraging Action in Perception and Perception in Action

    Jeannette Bohg;Karol Hausman;Bharath Sankaran;Oliver Brock

  • Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection

    Andrew Howard;Lynne E. Parker;Gaurav S. Sukhatme

  • Sampling-based robotic information gathering algorithms

    Geoffrey A. Hollinger;Gaurav S. Sukhatme

  • Mobile robot navigation using a sensor network

    M.A. Batalin;G.S. Sukhatme;M. Hattig

  • Mobile Robot Simultaneous Localization and Mapping in Dynamic Environments

    Denis F. Wolf;Gaurav S. Sukhatme

  • Autonomous Deployment and Repair of a Sensor Network Using an Unmanned Aerial Vehicle

    P. Corke;S. Hrabar;R. Peterson;D. Rus

  • Localization for mobile robot teams using maximum likelihood estimation

    A. Howard;M.J. Matark;G.S. Sukhatme

Frequent Co-Authors

Maja J. Matarić
Maja J. Matarić University of Southern California
David A. Caron
David A. Caron University of Southern California
Deborah Estrin
Deborah Estrin Cornell University
Ramesh Govindan
Ramesh Govindan University of Southern California
Stefan Schaal
Stefan Schaal Google (United States)
Mani Srivastava
Mani Srivastava University of California, Los Angeles
Urbashi Mitra
Urbashi Mitra University of Southern California
George A. Bekey
George A. Bekey University of Southern California
Gregory J. Pottie
Gregory J. Pottie University of California, Los Angeles

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