World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4699
World Ranking
11356
National Ranking
193

Rafael Garcia 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 Rafael Garcia 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: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Rafael Garcia 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 Rafael Garcia 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Rafael Garcia is affiliated with the Complutense University of Madrid in Spain. Their research spans multiple areas within engineering and computer science, with a particular focus on ocean engineering and computer vision.

Their most frequent subjects of study include:

  • Underwater Vehicles and Communication Systems
  • AI in cancer detection
  • Robotics and Sensor-Based Localization
  • Cutaneous Melanoma Detection and Management
  • Underwater Acoustics Research
  • Robotic Path Planning Algorithms
  • Skin Protection and Aging

Rafael Garcia has contributed to several notable venues over their career. Their frequent publication outlets include:

  • arXiv (Cornell University)
  • Ocean Engineering
  • Frontiers in Medicine
  • Subterranean Biology
  • Zenodo (CERN European Organization for Nuclear Research)

The list of frequent co-authors highlights collaborative research with:

  • Nuno Gracias
  • Josep Quintana
  • Hayat Rajani
  • Ricard Campos
  • Sana Nazari

Some of Rafael Garcia's recent papers document advances in underwater systems, AI applications, and ecological impacts, including:

  • Sea Mining Exploration With an UVMS: Experimental Validation of the Control and Perception Framework (2020, IEEE/ASME Transactions on Mechatronics)
  • A convolutional vision transformer for semantic segmentation of side-scan sonar data (2023, Ocean Engineering)
  • Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review (2023, Life)
  • The fate of terrestrial biodiversity during an oceanic island volcanic eruption (2022, Scientific Reports)
  • 3D Simplification Methods and Large Scale Terrain Tiling (2020, Remote Sensing)

Their work encompasses a range of subfields within engineering and computer science such as ocean engineering, computer vision and pattern recognition, oceanography, artificial intelligence, and ecology, evolution, behavior, and systematics.

Through these publications and collaborations, Rafael Garcia has contributed to interdisciplinary research integrating sensor technologies, AI methodologies, ecological studies, and oceanographic exploration. This breadth of study reflects a diverse approach to applied sciences with relevance in both technological innovation and environmental assessment.

Best Publications

  • mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications

    Oresti Banos;Rafael Garcia;Juan A. Holgado-Terriza;Miguel Damas

  • Methodological review: Computerized analysis of pigmented skin lesions: A review

    Konstantin Korotkov;Rafael Garcia

  • Design, implementation and validation of a novel open framework for agile development of mobile health applications.

    Oresti Banos;Oresti Banos;Claudia Villalonga;Rafael Garcia;Alejandro Saez

  • On the way to solve lighting problems in underwater imaging

    R. Garcia;T. Nicosevici;X. Cufi

  • Overview of coded light projection techniques for automatic 3D profiling

    J. Pages;J. Salvi;R. Garcia;C. Matabosch

  • Radio-Frequency Interference Mitigation for the Soil Moisture Active Passive Microwave Radiometer

    Jeffrey R. Piepmeier;Joel T. Johnson;Priscilla N. Mohammed;Damon Bradley

  • Visual inspection of hydroelectric dams using an autonomous underwater vehicle

    Pere Ridao;Marc Carreras;David Ribas;Rafael Garcia

  • Automatic segmentation of fish using deep learning with application to fish size measurement

    Rafael Garcia;Ricard Prados;Josep Quintana;Alexander Tempelaar

  • Image-Based Coral Reef Classification and Thematic Mapping

    A.S.M. Shihavuddin;Nuno Gracias;Rafael Garcia;Arthur C. R. Gleason

  • Positioning an underwater vehicle through image mosaicking

    R. Garcia;J. Batlle;X. Cufi;J. Amat

  • Automatic Visual Bag-of-Words for Online Robot Navigation and Mapping

    T. Nicosevici;R. Garcia

  • Automatic differentiation of melanoma from dysplastic nevi.

    Mojdeh Rastgoo;Rafael Garcia;Olivier Morel;Franck Marzani

  • Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding

    Jennifer M. Durden;Timm Schoening;Franziska Althaus;Ariell Friedman

  • a New Color Correction Method for Underwater Imaging

    G. Bianco;M. Muzzupappa;Fabio Bruno;R. Garcia

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

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

  • Structure, temporal evolution, and heat flux estimates from the Lucky Strike deep‐sea hydrothermal field derived from seafloor image mosaics

    Thibaut Barreyre;Javier E. Escartin;Rafael Garcia;Mathilde Cannat

  • Efficient three‐dimensional scene modeling and mosaicing

    Unknown

  • Augmented state Kalman filtering for AUV navigation

    R. Garcia;J. Puig;P. Ridao;X. Cufi

  • Globally aligned photomosaic of the Lucky Strike hydrothermal vent field (Mid‐Atlantic Ridge, 37°18.5′N): Release of georeferenced data, mosaic construction, and viewing software

    Javier E. Escartin;Rafael Garcia;O. Delaunoy;J. Ferrer

  • A Novel Blending Technique for Underwater Gigamosaicing

    R. Prados;R. Garcia;N. Gracias;J. Escartin

  • Large-Area Photo-Mosaics Using Global Alignment and Navigation Data

    J. Ferrer;A. Elibol;O. Delaunoy;N. Gracias

  • Autonomous Underwater Navigation and Optical Mapping in Unknown Natural Environments.

    Juan David Hernández;Klemen Istenič;Nuno Gracias;Narcís Palomeras

  • A surface reconstruction method for in-detail underwater 3D optical mapping

    Ricard Campos;Rafael Garcia;Pierre Alliez;Mariette Yvinec

Frequent Co-Authors

Javier Escartín
Javier Escartín École Normale Supérieure
Pere Ridao
Pere Ridao University of Girona
David Serrano
David Serrano IMDEA Energy Institute
Mathilde Cannat
Mathilde Cannat Institut de Physique du Globe de Paris
Joaquim Salvi
Joaquim Salvi University of Girona
Christine Deplus
Christine Deplus Institut de Physique du Globe de Paris
Catherine Mével
Catherine Mével Institut de Physique du Globe de Paris
Paraskevi Nomikou
Paraskevi Nomikou National and Kapodistrian University of Athens
Christophe De Vleeschouwer
Christophe De Vleeschouwer Université Catholique de Louvain
Daniel J. Fornari
Daniel J. Fornari Woods Hole Oceanographic Institution

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