World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
7646
World Ranking
4649
National Ranking
103

Pere Ridao publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Pere Ridao sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 222 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Pere Ridao D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Pere Ridao sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 48 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Pere Ridao is affiliated with the University of Girona in Spain and has focused their research primarily within the fields of Engineering and Computer Science. Their work bridges these disciplines, with a significant emphasis on subfields such as Ocean Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, and Environmental Engineering.

Their research topics notably include Underwater Vehicles and Communication Systems, Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Optical Measurement and Interference Techniques, Maritime Navigation and Safety, Adaptive Control of Nonlinear Systems, and Advanced Vision and Imaging.

The scientist has published numerous papers in respected venues, with recurring appearances in:

  • IEEE Access
  • Sensors
  • Journal of Field Robotics
  • OCEANS 2021: San Diego - Porto
  • IEEE/ASME Transactions on Mechatronics

Recent publications by Pere Ridao include:

  • TWINBOT: Autonomous Underwater Cooperative Transportation, 2021, IEEE Access
  • Multirepresentation, Multiheuristic A* search-based motion planning for a free-floating underwater vehicle-manipulator system in unknown environment, 2020, Journal of Field Robotics
  • Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information, 2021, Sensors
  • Underwater 3D Scanner to Counteract Refraction: Calibration and Experimental Results, 2022, IEEE/ASME Transactions on Mechatronics
  • Docking of Non-Holonomic AUVs in Presence of Ocean Currents: A Comparative Survey, 2021, IEEE Access

Frequent collaborators in their research include Patryk Cieśląk, Narcís Palomeras, Guillem Vallicrosa, Joan Esteba, and Miguel Castillón.

Best Publications

  • Girona 500 AUV: From Survey to Intervention

    David Ribas;Narcis Palomeras;Pere Ridao;Marc Carreras

  • Underwater SLAM in man-made structured environments

    David Ribas;Pere Ridao;Juan Domingo Tardós;José Neira

  • Challenges and future trends in marine robotics

    Enrica Zereik;Marco Bibuli;Nikola Miskovic;Pere Ridao

  • Sparus II AUV—A Hovering Vehicle for Seabed Inspection

    Marc Carreras;Juan David Hernandez;Eduard Vidal;Narcis Palomeras

  • Underwater SLAM in man‐made structured environments

    Unknown

  • Visual inspection of hydroelectric dams using an autonomous underwater vehicle

    Pere Ridao;Marc Carreras;David Ribas;Rafael Garcia

  • On the Identification of Non Linear Models of Unmanned Underwater Vehicles

    P. Ridao;A. Tiano;A. El-Fakdi;M. Carreras

  • SLAM using an Imaging Sonar for Partially Structured Underwater Environments

    David Ribas;Pere Ridao;Jose Neira;Juan Tardos

  • Intervention AUVs: The Next Challenge

    Pere Ridao;Marc Carreras;David Ribas;Pedro J. Sanz

  • Coverage Path Planning with Real-time Replanning and Surface Reconstruction for Inspection of Three-dimensional Underwater Structures using Autonomous Underwater Vehicles

    Enric Galceran;Ricard Campos;Narcís Palomeras;David Ribas

  • A new FPGA/DSP-based parallel architecture for real-time image processing

    J. Batlle;J. Martíi;P. Ridao;J. Amat

  • I-AUV Mechatronics Integration for the TRIDENT FP7 Project

    David Ribas;Pere Ridao;Alessio Turetta;Claudio Melchiorri

  • Autonomous underwater panel operation by GIRONA500 UVMS: A practical approach to autonomous underwater manipulation

    Patryk Cieslak;Pere Ridao;Mariusz Giergiel

  • Reconfigurable AUV for intervention missions: a case study on underwater object recovery

    Mario Prats;David Ribas;Narcís Palomeras;Juan Carlos García

  • A survey on Terrain Based Navigation for AUVs

    Sebastian Carreno;Philip Wilson;Pere Ridao;Yvan Petillot

  • Toward Autonomous Exploration in Confined Underwater Environments

    Angelos Mallios;Pere Ridao;David Ribas;Marc Carreras

  • Grasping for the Seabed: Developing a New Underwater Robot Arm for Shallow-Water Intervention

    Jose Javier Fernandez;Mario Prats;Pedro J. Sanz;Juan Carlos Garcia

  • COLA2: A Control Architecture for AUVs

    N. Palomeras;A. El-Fakdi;M. Carreras;P. Ridao

  • AUV homing and docking for remote operations

    N. Palomeras;G. Vallicrosa;A. Mallios;J. Bosch

  • Vision-based localization of an underwater robot in a structured environment

    M. Carreras;P. Ridao;R. Garcia;T. Nicosevici

  • A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

    M. Carreras;J. Yuh;J. Batlle;Pere Ridao

  • ReviewIntervention AUVs: The next challenge☆☆☆

    Pere Ridao;Marc Carreras;David Ribas;Pedro J. Sanz

  • Force cooperation in a reconfigurable field multirobot system

    Wei Wang;Houxiang Zhang;Guanghua Zong;Jianwei Zhang

Frequent Co-Authors

Rafael Garcia
Rafael Garcia Complutense University of Madrid
Yvan Petillot
Yvan Petillot Heriot-Watt University
Carlos Silvestre
Carlos Silvestre University of Macau
Antonio M. Pascoal
Antonio M. Pascoal Instituto Superior Técnico
José Neira
José Neira University of Zaragoza
Claudio Melchiorri
Claudio Melchiorri University of Bologna
Juan D. Tardós
Juan D. Tardós University of Zaragoza
Andreas Birk
Andreas Birk Jacobs University
Javier Escartín
Javier Escartín École Normale Supérieure
Junku Yuh
Junku Yuh Korea Institute of Robotics & Technology Convergence

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