World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8142
World Ranking
6874
National Ranking
414

Yvan Petillot 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 Yvan Petillot 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: 267 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Yvan Petillot 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 Yvan Petillot 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Yvan Petillot is affiliated with Heriot-Watt University in the United Kingdom and conducts research principally at the intersection of engineering and computer science. Their scholarly output is deeply rooted in subfields including ocean engineering, aerospace engineering, computer vision and pattern recognition, control and systems engineering, and artificial intelligence.

Their work engages extensively with the following main topics:

  • Underwater Vehicles and Communication Systems
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Indoor and Outdoor Localization Technologies
  • Teleoperation and Haptic Systems
  • Underwater Acoustics Research

Yvan Petillot's publication record includes a range of papers spread across notable venues with a concentration in robotics and sensing-related journals. Frequent publication venues include:

  • arXiv (Cornell University)
  • Sensors
  • Journal of Robotics & Autonomous Systems
  • The International Journal of Robotics Research
  • Frontiers in Robotics and AI

Recent papers epitomize the themes and advances in their work. For example, in 2021, the paper "Connected Sensors, Innovative Sensor Deployment, and Intelligent Data Analysis for Online Water Quality Monitoring" appeared in IEEE Internet of Things Journal.

Other recent publications include:

  • "Learning Mobile Manipulation through Deep Reinforcement Learning," 2020, Sensors
  • "AUV localisation: a review of passive and active techniques," 2021, International Journal of Intelligent Robotics and Applications
  • "RadarSLAM: A robust simultaneous localization and mapping system for all weather conditions," 2022, The International Journal of Robotics Research
  • "Online 3-Dimensional Path Planning with Kinematic Constraints in Unknown Environments Using Hybrid A* with Tree Pruning," 2021, Sensors

Collaboration plays a significant role in Petillot's research activities. Frequent coauthors include:

  • Sen Wang
  • Jonatan Scharff Willners
  • Joshua Roe
  • Ignacio Carlucho
  • Maria Koskinopoulou

The breadth of Yvan Petillot's work spans over 76 engineering publications and 29 in computer science, reflecting a multidisciplinary approach to robotic systems, autonomous vehicles, and sensor deployment. Their investigations cover both theoretical and practical aspects, contributing to advancements in underwater robotics, navigation systems, and intelligent data analysis methodologies.

Best Publications

  • Path Planning for Autonomous Underwater Vehicles

    C. Petres;Y. Pailhas;P. Patron;Y. Petillot

  • The SLAM problem: a survey

    Josep Aulinas;Yvan Petillot;Joaquim Salvi;Xavier Lladó

  • Underwater vehicle obstacle avoidance and path planning using a multi-beam forward looking sonar

    Y. Petillot;I. Tena Ruiz;D.M. Lane

  • An automatic approach to the detection and extraction of mine features in sidescan sonar

    S. Reed;Y. Petillot;J. Bell

  • Underwater depth imaging using time-correlated single-photon counting

    Aurora Maccarone;Aongus McCarthy;Ximing Ren;Ryan E. Warburton

  • Underwater Robots: From Remotely Operated Vehicles to Intervention-Autonomous Underwater Vehicles

    Yvan R. Petillot;Gianluca Antonelli;Giuseppe Casalino;Fausto Ferreira

  • StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments

    Raluca Scona;Mariano Jaimez;Yvan R. Petillot;Maurice Fallon

  • Concurrent mapping and localization using sidescan sonar

    I. Tena Ruiz;S. de Raucourt;Y. Petillot;D.M. Lane

  • Unconstrained Synthesis of Covariance Matrix for MIMO Radar Transmit Beampattern

    S. Ahmed;J. S. Thompson;Y. R. Petillot;B. Mulgrew

  • Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning

    Ignacio Carlucho;Ignacio Carlucho;Mariano De Paula;Sen Wang;Yvan R. Petillot

  • Fourier-based Registration for Robust Forward-looking Sonar Mosaicing in Low-visibility Underwater Environments

    Natília Hurtós;David Ribas;Xavier Cufí;Yvan Petillot

  • RadarSLAM: Radar based Large-Scale SLAM in All Weathers

    Ziyang Hong;Yvan Petillot;Sen Wang

  • Multiresolution 3-D Reconstruction From Side-Scan Sonar Images

    E. Coiras;Y. Petillot;D.M. Lane

  • Finite Alphabet Constant-Envelope Waveform Design for MIMO Radar

    S. Ahmed;J. S. Thompson;Y. R. Petillot;B. Mulgrew

  • A survey on Terrain Based Navigation for AUVs

    Sebastian Carreno;Philip Wilson;Pere Ridao;Yvan Petillot

  • Real time AUV pipeline detection and tracking using side scan sonar and multi-beam echo-sounder

    Y.R. Petillot;S.R. Reed;J.M. Bell

  • Automated approach to classification of mine-like objects in sidescan sonar using highlight and shadow information

    S. Reed;Y. Petillot;J. Bell

  • The fusion of large scale classified side-scan sonar image mosaics

    S. Reed;I.T. Ruiz;C. Capus;Y. Petillot

  • Underwater path planing using fast marching algorithms

    C. Petres;Y. Pailhas;Y. Petillot;D. Lane

  • Connected Sensors, Innovative Sensor Deployment, and Intelligent Data Analysis for Online Water Quality Monitoring

    Libu Manjakkal;Srinjoy Mitra;Yvan R. Petillot;Jamie Shutler

  • Semantic Knowledge-Based Framework to Improve the Situation Awareness of Autonomous Underwater Vehicles

    Emilio Miguelañez;Pedro Patrón;Keith E Brown;Yvan R Petillot

Frequent Co-Authors

David M. Lane
David M. Lane Heriot-Watt University
Joaquim Salvi
Joaquim Salvi University of Girona
Emanuele Trucco
Emanuele Trucco University of Dundee
Pere Ridao
Pere Ridao University of Girona
Bernard Mulgrew
Bernard Mulgrew University of Edinburgh
John Thompson
John Thompson University of Edinburgh
Xavier Lladó
Xavier Lladó University of Girona
Alan F. T. Winfield
Alan F. T. Winfield University of the West of England
Gerald S. Buller
Gerald S. Buller Heriot-Watt University
Carlos Silvestre
Carlos Silvestre University of Macau

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