World's Best Scientists 2026 revealed!
Patrick Jaillet

Patrick Jaillet

D-Index & Metrics

Computer Science

D-Index
51
Citations
10475
World Ranking
5340
National Ranking
2447

Patrick Jaillet 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 Patrick Jaillet 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 222 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Patrick Jaillet 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 Patrick Jaillet sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 51 D-Index — 63rd percentile

63% 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

  • 2013 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Patrick Jaillet is affiliated with MIT in the United States and has contributed extensively to the fields of Computer Science and Decision Sciences. Their research spans multiple subfields, including Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Automotive Engineering, and Marketing.

Their work focuses on several main topics, such as:

  • Advanced Bandit Algorithms Research
  • Machine Learning and Algorithms
  • Auction Theory and Applications
  • Transportation and Mobility Innovations
  • Optimization and Search Problems
  • Gaussian Processes and Bayesian Inference
  • Transportation Planning and Optimization

Patrick Jaillet has published in a variety of venues, with a significant number appearing in:

  • arXiv (Cornell University)
  • Mathematics of Operations Research
  • Operations Research
  • European Journal of Operational Research
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or co-authored by Patrick Jaillet include:

  • "Federated Bayesian Optimization via Thompson Sampling", 2020, arXiv (Cornell University)
  • "Variational Bayesian Unlearning", 2020, arXiv (Cornell University)
  • "The Robust Vehicle Routing Problem with Time Window Assignments", 2021, Transportation Science
  • "Strategic Workforce Planning Under Uncertainty", 2021, Operations Research
  • "Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios", 2020, INFORMS journal on computing

The scientist has collaborated frequently with several co-authors including:

  • Bryan Kian Hsiang Low
  • Zhongxiang Dai
  • Negin Golrezaei
  • Quoc Phong Nguyen
  • Saurabh Amin

In recognition of their contributions to the field, Patrick Jaillet was named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2013.

Best Publications

  • Variational inequalities and the pricing of American options

    Patrick Jaillet;Damien Lamberton;Bernard Lapeyre

  • Stochastic and dynamic networks and routing

    Warren Buckler Powell;Patrick Jaillet;Amedeo Odoni

  • A priori solution of a travelling salesman problem in which a random subset of the customers are visited

    Patrick Jaillet

  • Real-Time Multivehicle Truckload Pickup and Delivery Problems

    Jian Yang;Patrick Jaillet;Hani Mahmassani

  • Probabilistic Traveling Salesman Problems

    Patrick Jaillet

  • A priori optimization

    Dimitris J. Bertsimas;Patrick Jaillet;Amedeo R. Odoni

  • Online map-matching based on Hidden Markov model for real-time traffic sensing applications

    C.Y. Goh;J. Dauwels;N. Mitrovic;M. T. Asif

  • A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities

    Jonathan F. Bard;Liu Huang;Patrick Jaillet;Patrick Jaillet;Moshe Dror

  • AIRLINE NETWORK DESIGN AND HUB LOCATION PROBLEMS

    Patrick Jaillet;Gao Song;Gang Yu

  • Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

    Muhammad Tayyab Asif;Justin Dauwels;Chong Yang Goh;Ali Oran

  • Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications

    Dimitris Bertsimas;Patrick Jaillet;Sébastien Martin

  • Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems

    Supriyo Ghosh;Pradeep Varakantham;Yossiri Adulyasak;Patrick Jaillet

  • Online Stochastic Matching: New Algorithms with Better Bounds

    Patrick Jaillet;Xin Lu

  • Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework

    Patrick Jaillet;Jonathan F. Bard;Liu Huang;Moshe Dror

  • A branch and cut algorithm for the VRP with satellite facilities

    Jonathan F. Bard;Liu Huang;Moshe Dror;Patrick Jaillet

  • Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks

    Muhammad Tayyab Asif;Nikola Mitrovic;Justin Dauwels;Patrick Jaillet

  • Routing Optimization Under Uncertainty

    Patrick Jaillet;Jin Qi;Melvyn Sim

  • Rebalancing shared mobility-on-demand systems: A reinforcement learning approach

    Jian Wen;Jinhua Zhao;Patrick Jaillet

  • Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios

    Patrick Jaillet;Michael R. Wagner

  • ON-LINE ALGORITHMS FOR TRUCK FLEET ASSIGNMENT AND SCHEDULING UNDER REAL-TIME INFORMATION

    Jian Yang;Patrick Jaillet;Hani S. Mahmassani

  • Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines

    Yossiri Adulyasak;Patrick Jaillet

  • Dynamic Decision Making for Commercial Fleet Operations Using Real-Time Information

    Amelia C. Regan;Hani S. Mahmassani;Patrick Jaillet

Frequent Co-Authors

Hani S. Mahmassani
Hani S. Mahmassani Northwestern University
Justin Dauwels
Justin Dauwels Nanyang Technological University
Miguel A. Figliozzi
Miguel A. Figliozzi Portland State University
Thibaut Vidal
Thibaut Vidal Polytechnique Montréal
Moshe Dror
Moshe Dror University of Arizona
Jonathan F. Bard
Jonathan F. Bard The University of Texas at Austin

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