World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
7408
World Ranking
9124
National Ranking
218

Javier Civera 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 Javier Civera 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: 165 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Javier Civera 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 Javier Civera 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Javier Civera is affiliated with the University of Zaragoza in Spain and has a research focus primarily in Computer Science and Engineering. Their work spans several subfields including Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Mechanical Engineering, and Artificial Intelligence.

Their main research topics involve Robotics and Sensor-Based Localization, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, Robotic Path Planning Algorithms, 3D Surveying and Cultural Heritage, Modular Robots and Swarm Intelligence, and Human Pose and Action Recognition.

Javier Civera has published extensively, contributing to notable venues such as arXiv (Cornell University) with 44 publications, IEEE Robotics and Automation Letters with 12 publications, Journal of Field Robotics and International Journal of Computational Vision and Robotics with 2 publications each, and Zenodo (CERN European Organization for Nuclear Research) with 2 publications.

The frequent coauthors collaborating with Javier Civera include Seong Hun Lee, Hriday Bavle, José Luis Sánchez-López, Holger Voos, and Muhammad Shaheer, reflecting an active network within their research community.

Recent papers by Javier Civera illustrate ongoing work in robotics and visual localization technologies:

  • Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos Using Depth Networks and Photometric Constraints, 2021, IEEE Robotics and Automation Letters
  • DOT: Dynamic Object Tracking for Visual SLAM, 2021, elib (German Aerospace Center)
  • Endomapper dataset of complete calibrated endoscopy procedures, 2023, Scientific Data
  • Situational Graphs for Robot Navigation in Structured Indoor Environments, 2022, IEEE Robotics and Automation Letters
  • S-Graphs+: Real-Time Localization and Mapping Leveraging Hierarchical Representations, 2023, IEEE Robotics and Automation Letters

Best Publications

  • Inverse Depth Parametrization for Monocular SLAM

    J. Civera;A.J. Davison;J. Montiel

  • DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes

    Berta Bescos;José M. Fácil;Javier Civera;José Neira

  • Unified Inverse Depth Parametrization for Monocular SLAM

    J. M. M. Montiel;Javier Civera;Andrew J. Davison

  • Learning object class detectors from weakly annotated video

    Alessandro Prest;Christian Leistner;Javier Civera;Cordelia Schmid

  • RoboEarth - A World Wide Web for Robots

    Markus Waibel;Michael Beetz;Raffaello D'Andrea;Rob Janssen

  • RoboEarth

    Unknown

  • Visual teach and repeat for long-range rover autonomy

    Paul Furgale;Timothy D. Barfoot

  • C2TAM: A Cloud framework for cooperative tracking and mapping

    L. Riazuelo;Javier Civera;J. M. M. Montiel

  • 1-Point RANSAC for extended Kalman filtering: Application to real-time structure from motion and visual odometry: Civera et al.: 1-Point RANSAC for EK Filtering

    Javier Civera;Oscar G. Grasa;Andrew J. Davison;J. M. M. Montiel

  • Towards semantic SLAM using a monocular camera

    Javier Civera;Dorian Galvez-Lopez;L. Riazuelo;Juan D. Tardos

  • Impact of Landmark Parametrization on Monocular EKF-SLAM with Points and Lines

    Joan Solà;Teresa Vidal-Calleja;Javier Civera;José María Montiel

  • 1-point RANSAC for EKF-based Structure from Motion

    Javier Civera;Oscar G. Grasa;Andrew J. Davison;J. M. M. Montiel

  • Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition

    Frederik Warburg;Soren Hauberg;Manuel Lopez-Antequera;Pau Gargallo

  • DPPTAM: Dense piecewise planar tracking and mapping from a monocular sequence

    Alejo Concha;Javier Civera

  • S-PTAM

    Taih Pire;Thomas Fischer;Gastn Castro;Pablo DeCristforis

  • Inverse Depth to Depth Conversion for Monocular SLAM

    J. Civera;A.J. Davison;J.M.M. Montiel

  • Stereo parallel tracking and mapping for robot localization

    Taihu Pire;Thomas Fischer;Javier Civera;Pablo De Cristoforis

  • Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos Using Depth Networks and Photometric Constraints

    David Recasens;Jose Lamarca;Jose M. Facil;J. M. M. Montiel

  • Visual-inertial direct SLAM

    Alejo Concha;Giuseppe Loianno;Vijay Kumar;Javier Civera

  • Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on

    A. Prest;C. Leistner;J. Civera;C. Schmid

  • EKF monocular SLAM with relocalization for laparoscopic sequences

    Oscar G. Grasa;Javier Civera;J. M. M. Montiel

  • CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

    Jose M. Facil;Benjamin Ummenhofer;Huizhong Zhou;Luis Montesano

  • Corners for Layout: End-to-End Layout Recovery From 360 Images

    Clara Fernandez-Labrador;Jose M. Facil;Alejandro Perez-Yus;Cedric Demonceaux

  • Using superpixels in monocular SLAM.

    Alejo Concha;Javier Civera

  • Camera self-calibration for sequential Bayesian structure from motion

    Javier Civera;Diana R. Bueno;Andrew J. Davison;J. M. M. Montiel

  • Single-View Place Recognition under Seasonal Changes

    Daniel Olid;José M. Fácil;Javier Civera

  • DOT: Dynamic Object Tracking for Visual SLAM

    Irene Ballester;Alejandro Fontan;Javier Civera;Klaus H. Strobl

  • Text Mining Biomedical Literature for Discovering Gene-to-Gene Relationships: A Comparative Study of Algorithms

    Ying Liu;Shamkant B. Navathe;Jorge Civera;Venu Dasigi

  • Loosely-Coupled Semi-Direct Monocular SLAM

    Seong Hun Lee;Javier Civera

  • Interacting multiple model monocular SLAM

    J. Civera;A.J. Davison;J.M.M. Montiel

  • RGBDTAM: A cost-effective and accurate RGB-D tracking and mapping system

    Alejo Concha;Javier Civera

  • Single-View and Multi-View Depth Fusion

    José M. Fácil;Alejo Concha;Luis Montesano;Javier Civera

Frequent Co-Authors

José María Martínez Montiel
José María Martínez Montiel University of Zaragoza
Andrew J. Davison
Andrew J. Davison Imperial College London
Luis Montesano
Luis Montesano University of Zaragoza
Manuel Lopes
Manuel Lopes Instituto Superior Técnico
Thomas Brox
Thomas Brox University of Freiburg
Lydia E. Kavraki
Lydia E. Kavraki Rice University
Jeannette Bohg
Jeannette Bohg Stanford University
José Neira
José Neira University of Zaragoza
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA

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