World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
16180
World Ranking
2466
National Ranking
1237

Marco Pavone 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 Marco Pavone 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: 380 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Marco Pavone 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 Marco Pavone 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: 65 D-Index — 83rd percentile

83% 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

  • 2012 - Hellman Fellow

Overview

Marco Pavone is affiliated with Stanford University in the United States and has an extensive research portfolio in engineering and computer science. Their publications focus on various subfields including artificial intelligence, control and systems engineering, automotive engineering, computer vision and pattern recognition, and computational theory and mathematics.

The scientist's work covers several main topics of study that include autonomous vehicle technology and safety, anomaly detection techniques and applications, transportation and mobility innovations, robotic path planning algorithms, advanced control systems optimization, adversarial robustness in machine learning, and traffic control and management.

Recent publications authored or co-authored by Marco Pavone include:

  • Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently (2022), published in IEEE Control Systems
  • Text2Motion: from natural language instructions to feasible plans (2023), published in Autonomous Robots
  • Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms (2023), published in IEEE Robotics and Automation Letters
  • On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions (2020), published in The International Journal of Robotics Research
  • ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Marco Pavone frequently collaborates with several researchers, including Boris Ivanovic, Edward Schmerling, Thomas Lew, Yuxiao Chen, and Devansh Jalota. The number of coauthored works ranges from 19 to 68 publications per collaborator.

Publication venues most commonly featuring their work are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • The International Journal of Robotics Research
  • IEEE Transactions on Control of Network Systems
  • SSRN Electronic Journal

Marco Pavone received the Hellman Fellowship award in 2012.

Best Publications

  • Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.

    Tim Salzmann;Boris Ivanovic;Punarjay Chakravarty;Marco Pavone

  • Fast marching tree

    Lucas Janson;Edward Schmerling;Ashley Clark;Marco Pavone

  • Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore

    Kevin Spieser;Kyle Ballantyne Treleaven;Rick Zhang;Emilio Frazzoli

  • Control of robotic mobility-on-demand systems

    Rick Zhang;Marco Pavone

  • The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

    Boris Ivanovic;Marco Pavone

  • Robotic load balancing for mobility-on-demand systems

    Marco Pavone;Stephen L Smith;Emilio Frazzoli;Daniela Rus

  • Learning Sampling Distributions for Robot Motion Planning

    Brian Ichter;James Harrison;Marco Pavone

  • Dynamic Vehicle Routing for Robotic Systems

    F. Bullo;E. Frazzoli;M. Pavone;K. Savla

  • FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization

    Unknown

  • Text2Motion: from natural language instructions to feasible plans

    Unknown

  • Risk-Constrained Reinforcement Learning with Percentile Risk Criteria

    Yinlam Chow;Mohammad Ghavamzadeh;Lucas Janson;Marco Pavone

  • Cellular Network Traffic Scheduling With Deep Reinforcement Learning

    Sandeep Chinchali;Pan Hu;Tianshu Chu;Manu Sharma

  • Robust online motion planning via contraction theory and convex optimization

    Sumeet Singh;Anirudha Majumdar;Jean-Jacques Slotine;Marco Pavone

  • Decentralized Policies for Geometric Pattern Formation and Path Coverage

    Marco Pavone;Emilio Frazzoli

  • Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction

    Edward Schmerling;Karen Leung;Wolf Vollprecht;Marco Pavone

  • Robot Motion Planning in Learned Latent Spaces

    Brian Ichter;Marco Pavone

  • Risk-sensitive and robust decision-making: a CVaR optimization approach

    Yinlam Chow;Aviv Tamar;Shie Mannor;Marco Pavone

  • Model predictive control of autonomous mobility-on-demand systems

    Rick Zhang;Federico Rossi;Marco Pavone

  • Adaptive and Distributed Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment

    M Pavone;E Frazzoli;F Bullo

  • Distributed Control of Spacecraft Formations via Cyclic Pursuit: Theory and Experiments

    Jaime L. Ramirez-Riberos;Marco Pavone;Emilio Frazzoli;David W. Miller

  • Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms

    Federico Rossi;Rick Zhang;Yousef Hindy;Marco Pavone

  • Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems

    Ramon Iglesias;Federico Rossi;Kevin Wang;David Hallac

  • Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions.

    Lucas Janson;Marco Pavone

  • Dynamic Vehicle Routing for Robotic Systems Planning optimal routes for multiple vehicles performing different tasks is discussed; fundamental limits on achievable performance are established for tasks that are generated by exogenous processes.

    Francesco Bullo;Emilio Frazzoli;Marco Pavone;Ketan Savla

Frequent Co-Authors

Francesco Bullo
Francesco Bullo University of California, Santa Barbara
Stephen L. Smith
Stephen L. Smith University of Guelph
Mac Schwager
Mac Schwager Stanford University
Claire J. Tomlin
Claire J. Tomlin University of California, Berkeley
Paolo Arena
Paolo Arena University of Catania
Mykel J. Kochenderfer
Mykel J. Kochenderfer Stanford University
Luigi Fortuna
Luigi Fortuna University of Catania
Julie Castillo-Rogez
Julie Castillo-Rogez California Institute of Technology

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