World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9170
World Ranking
7517
National Ranking
3270

Evangelos A. Theodorou 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 Evangelos A. Theodorou 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: 251 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Evangelos A. Theodorou 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 Evangelos A. Theodorou 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Evangelos A. Theodorou is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a focus on subfields that include Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, and Computational Theory and Mathematics.

Theodorou's main research topics cover a variety of areas such as Advanced Control Systems Optimization, Reinforcement Learning in Robotics, Adaptive Dynamic Programming Control, Robotic Path Planning Algorithms, Fault Detection and Control Systems, Model Reduction and Neural Networks, and Stochastic processes and financial applications.

Recent noteworthy publications reflect these interests. These include:

  • Robust Model Predictive Path Integral Control: Analysis and Performance Guarantees, 2021, IEEE Robotics and Automation Letters
  • Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Learning Risk-aware Costmaps for Traversability in Challenging Environments, 2021, arXiv (Cornell University)
  • Aggressive Perception-Aware Navigation Using Deep Optical Flow Dynamics and PixelMPC, 2020, IEEE Robotics and Automation Letters
  • Outcome of refractory to conventional and/or biologic treatment adult Still's disease following canakinumab treatment: Countrywide data in 50 patients, 2020, Seminars in Arthritis and Rheumatism

Theodorou has collaborated frequently with researchers such as Tianrong Chen, Guan-Horng Liu, Augustinos D. Saravanos, Hassan Almubarak, and Naira Hovakimyan.

Publishing extensively, their work appears often in venues like arXiv (Cornell University), IEEE Robotics and Automation Letters, IEEE Transactions on Automatic Control, the 2022 International Conference on Robotics and Automation (ICRA), and the 2021 60th IEEE Conference on Decision and Control (CDC).

Best Publications

  • STOMP: Stochastic trajectory optimization for motion planning

    Mrinal Kalakrishnan;Sachin Chitta;Evangelos Theodorou;Peter Pastor

  • A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Information theoretic MPC for model-based reinforcement learning

    Grady Williams;Nolan Wagener;Brian Goldfain;Paul Drews

  • Aggressive driving with model predictive path integral control

    Grady Williams;Paul Drews;Brian Goldfain;James M. Rehg

  • Reinforcement learning of motor skills in high dimensions: A path integral approach

    Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Model Predictive Path Integral Control: From Theory to Parallel Computation

    Grady Williams;Andrew Aldrich;Evangelos A. Theodorou

  • Agile Autonomous Driving using End-to-End Deep Imitation Learning

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • Learning variable impedance control

    Jonas Buchli;Freek Stulp;Evangelos Theodorou;Stefan Schaal

  • Skill learning and task outcome prediction for manipulation

    Peter Pastor;Mrinal Kalakrishnan;Sachin Chitta;Evangelos Theodorou

  • Reinforcement Learning With Sequences of Motion Primitives for Robust Manipulation

    F. Stulp;E. A. Theodorou;S. Schaal

  • Safe Learning of Quadrotor Dynamics Using Barrier Certificates

    Li Wang;Evangelos A. Theodorou;Magnus Egerstedt

  • A Kalman filter for robust outlier detection

    J.-A. Ting;E. Theodorou;S. Schaal

  • Computational Models for Neuromuscular Function

    F.J. Valero-Cuevas;H. Hoffmann;M.U. Kurse;J.J. Kutch

  • Stochastic Differential Dynamic Programming

    Evangelos Theodorou;Yuval Tassa;Emo Todorov

  • Relative entropy and free energy dualities: Connections to Path Integral and KL control

    Evangelos A. Theodorou;Emanuel Todorov

  • Imitation learning for agile autonomous driving

    Yunpeng Pan;Ching-An Cheng;Kamil Saigol;Keuntaek Lee

  • Learning to grasp under uncertainty

    Freek Stulp;Evangelos Theodorou;Jonas Buchli;Stefan Schaal

  • Probabilistic Differential Dynamic Programming

    Yunpeng Pan;Evangelos Theodorou

  • Movement segmentation using a primitive library

    Franziska Meier;Evangelos Theodorou;Freek Stulp;Stefan Schaal

  • Model Predictive Path Integral Control using Covariance Variable Importance Sampling

    Grady Williams;Andrew Aldrich;Evangelos A. Theodorou

  • Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

    Grady Williams;Paul Drews;Brian Goldfain;James M. Rehg

  • Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning

    Evangelos A. Theodorou;Jonas Buchli;Stefan Schaal;Daniel Lee

Frequent Co-Authors

Stefan Schaal
Stefan Schaal Google (United States)
Naira Hovakimyan
Naira Hovakimyan University of Illinois at Urbana-Champaign
Panagiotis Tsiotras
Panagiotis Tsiotras Georgia Institute of Technology
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Jonas Buchli
Jonas Buchli DeepMind (United Kingdom)
Byron Boots
Byron Boots University of Washington
Freek Stulp
Freek Stulp German Aerospace Center
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Eric N. Johnson
Eric N. Johnson Pennsylvania State University
Francisco J. Valero-Cuevas
Francisco J. Valero-Cuevas University of Southern California

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