World's Best Scientists 2026 revealed!
Mykel J. Kochenderfer

Mykel J. Kochenderfer

D-Index & Metrics

Computer Science

D-Index
56
Citations
14218
World Ranking
4031
National Ranking
1922

Mykel J. Kochenderfer 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 Mykel J. Kochenderfer 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: 329 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Mykel J. Kochenderfer 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 Mykel J. Kochenderfer 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: 56 D-Index — 72nd percentile

72% 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

  • 2014 - Hellman Fellow

Overview

Mykel J. Kochenderfer is primarily affiliated with Stanford University in the United States. Their research spans multiple areas in computer science and engineering, with a focus on artificial intelligence and robotics. They have contributed extensively to the fields of reinforcement learning, autonomous vehicle technology, and formal methods in verification among others.

The main fields of study for Kochenderfer include:

  • Computer Science
  • Engineering

Their research further delves into specific subfields such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Automotive Engineering
  • Control and Systems Engineering
  • Ocean Engineering

Kochenderfer's work explores a range of main topics, including:

  • Reinforcement Learning in Robotics
  • Autonomous Vehicle Technology and Safety
  • Adversarial Robustness in Machine Learning
  • Robotic Path Planning Algorithms
  • Evacuation and Crowd Dynamics
  • Formal Methods in Verification
  • Explainable Artificial Intelligence (XAI)

They have published numerous papers in well-known academic venues. Some frequent publication venues are:

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

Significant recent publications by Kochenderfer include:

  • "Personalizing exoskeleton assistance while walking in the real world," 2022, Nature
  • "Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems," 2021, Journal of Artificial Intelligence Research
  • "Handling Missing Data with Graph Representation Learning," 2020, arXiv (Cornell University)
  • "Sensing leg movement enhances wearable monitoring of energy expenditure," 2021, Nature Communications

Frequent collaborators in Kochenderfer's research include:

  • Anthony Corso
  • Ransalu Senanayake
  • Joshua Ott
  • Sydney M. Katz
  • Stephen Boyd

In addition to articles, Kochenderfer has contributed to book publications, including a title published by Now Publishers:

  • "Algorithms for Verifying Deep Neural Networks," 2021

Kochenderfer received the Hellman Fellow award in 2014. Their body of work shows sustained focus on advancing knowledge and techniques across artificial intelligence and engineering disciplines with practical applications in robotics, autonomous systems, and safety validation.

Best Publications

  • Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

    Guy Katz;Clark W. Barrett;David L. Dill;Kyle Julian

  • Cooperative Multi-agent Control Using Deep Reinforcement Learning

    Jayesh K. Gupta;Maxim Egorov;Mykel J. Kochenderfer

  • Decision Making Under Uncertainty: Theory and Application

    Mykel J. Kochenderfer;Christopher Amato;Girish Chowdhary;Jonathan P. How

  • The Marabou Framework for Verification and Analysis of Deep Neural Networks

    Guy Katz;Derek A. Huang;Duligur Ibeling;Kyle Julian

  • Imitating driver behavior with generative adversarial networks

    Alex Kuefler;Jeremy Morton;Tim Wheeler;Mykel Kochenderfer

  • Algorithms for Optimization

    Mykel J. Kochenderfer

  • Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior

    Jeremy Morton;Tim A. Wheeler;Mykel J. Kochenderfer

  • Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

    Carl-Johan Hoel;Katherine Driggs-Campbell;Krister Wolff;Leo Laine

  • Policy compression for aircraft collision avoidance systems

    Kyle D. Julian;Jessica Lopez;Jeffrey S. Brush;Michael P. Owen

  • Generalizable intention prediction of human drivers at intersections

    Derek J. Phillips;Tim A. Wheeler;Mykel J. Kochenderfer

  • Adaptive Stress Testing for Autonomous Vehicles

    Mark Koren;Saud Alsaif;Ritchie Lee;Mykel J. Kochenderfer

  • Deep Neural Network Compression for Aircraft Collision Avoidance Systems

    Kyle D. Julian;Mykel J. Kochenderfer;Michael P. Owen

  • Collision Avoidance for Unmanned Aircraft using Markov Decision Processes

    Selim Temizer;Mykel J. Kochenderfer;Leslie Pack Kaelbling;Tomas Lozano-Perez

  • Airspace Encounter Models for Estimating Collision Risk

    Mykel J. Kochenderfer;Matthew W. M. Edwards;Leo P. Espindle;James K. Kuchar

  • Decision Making under Uncertainty

    Mykel J. Kochenderfer;Christopher Amato;Girish Chowdhary;Jonathan P. How

  • Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces.

    Zachary N. Sunberg;Mykel J. Kochenderfer

  • Common sense data acquisition for indoor mobile robots

    Rakesh Gupta;Mykel J. Kochenderfer

  • Decentralized control of partially observable Markov decision processes

    Christopher Amato;Girish Chowdhary;Alborz Geramifard;N. Kemal Ure

  • Robust Airborne Collision Avoidance through Dynamic Programming

    M J Kochenderfer;J P Chryssanthacopoulos

  • Algorithms for Verifying Deep Neural Networks

    Changliu Liu;Tomer Arnon;Christopher Lazarus;Christopher A. Strong

  • HG-DAgger: Interactive Imitation Learning with Human Experts

    Michael Kelly;Chelsea Sidrane;Katherine Driggs-Campbell;Mykel J. Kochenderfer

  • Learning Near Optimal Policies with Low Inherent Bellman Error

    Andrea Zanette;Alessandro Lazaric;Mykel Kochenderfer;Emma Brunskill

  • Handling Missing Data with Graph Representation Learning

    Jiaxuan You;Xiaobai Ma;Daisy Yi Ding;Mykel Kochenderfer

  • Deep Dynamical Modeling and Control of Unsteady Fluid Flows

    Jeremy Morton;Freddie D. Witherden;Antony Jameson;Mykel J. Kochenderfer

  • A Survey of Algorithms for Black-Box Safety Validation.

    Anthony Corso;Robert J. Moss;Mark Koren;Ritchie Lee

Frequent Co-Authors

Kikuo Fujimura
Kikuo Fujimura Honda (United States)
Clark Barrett
Clark Barrett Stanford University
Stephen Boyd
Stephen Boyd Stanford University
Dorsa Sadigh
Dorsa Sadigh Stanford University
Marco Pavone
Marco Pavone Stanford University
Andrew Ang
Andrew Ang BlackRock (United States)
Emma Brunskill
Emma Brunskill Stanford University
David L. Dill
David L. Dill Stanford University
Yevgeniy Vorobeychik
Yevgeniy Vorobeychik Washington University in St. Louis
Mac Schwager
Mac Schwager Stanford University

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