World's Best Scientists 2026 revealed!
Javier Gonzalez-Jimenez

Javier Gonzalez-Jimenez

D-Index & Metrics

Computer Science

D-Index
36
Citations
4493
World Ranking
11373
National Ranking
194

Javier Gonzalez-Jimenez 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 Javier Gonzalez-Jimenez 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Javier Gonzalez-Jimenez 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 Javier Gonzalez-Jimenez 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

Javier Gonzalez-Jimenez is affiliated with the University of Malaga in Spain and has a research portfolio spanning engineering and computer science, with significant contributions to the subfields of computer vision and pattern recognition, aerospace engineering, control and systems engineering, biomedical engineering, and insect science.

The scientist's work primarily centers on robotics and sensor-based localization, advanced vision and imaging, insect pheromone research and control, robotics and automated systems, advanced chemical sensor technologies, advanced image and video retrieval techniques, and context-aware activity recognition systems.

Frequent coauthors in their collaborative research include José-Raúl Ruiz-Sarmiento, Javier Monroy, Francisco-Ángel Moreno, Pepe Ojeda, and Jose-Luis Matez-Bandera.

Javier Gonzalez-Jimenez has published extensively in several venues, with notable frequent publications in Zenodo (CERN European Organization for Nuclear Research), Sensors, IEEE Robotics and Automation Letters, arXiv (Cornell University), and Jornadas de Automática.

Among recent papers authored or coauthored by Javier Gonzalez-Jimenez are:

  • Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project (2022, International Journal of Social Robotics)
  • The UMA-VI dataset: Visual-inertial odometry in low-textured and dynamic illumination environments (2020, The International Journal of Robotics Research)
  • Information-Driven Gas Source Localization Exploiting Gas and Wind Local Measurements for Autonomous Mobile Robots (2021, IEEE Robotics and Automation Letters)
  • Joint estimation of gas and wind maps for fast-response applications (2020, Applied Mathematical Modelling)
  • Seeking at-home long-term autonomy of assistive mobile robots through the integration with an IoT-based monitoring system (2022, Robotics and Autonomous Systems)

Best Publications

  • PL-SLAM: A Stereo SLAM System Through the Combination of Points and Line Segments

    Ruben Gomez-Ojeda;Francisco-Angel Moreno;David Zuniga-Noel;Davide Scaramuzza

  • The Málaga urban dataset: High-rate stereo and LiDAR in a realistic urban scenario

    José-Luis Blanco-Claraco;Francisco-Ángel Moreno-Dueñas;Javier González-Jiménez

  • A predictive model for the maintenance of industrial machinery in the context of industry 4.0

    Jose-Raul Ruiz-Sarmiento;Javier Monroy;Francisco-Angel Moreno;Cipriano Galindo

  • A LEGO Mindstorms NXT approach for teaching at Data Acquisition, Control Systems Engineering and Real-Time Systems undergraduate courses

    A. Cruz-MartíN;J. A. FernáNdez-Madrigal;C. Galindo;J. GonzáLez-JiméNez

  • PL-SVO: Semi-direct Monocular Visual Odometry by combining points and line segments

    Ruben Gomez-Ojeda;Jesus Briales;Javier Gonzalez-Jimenez

  • A primal-dual framework for real-time dense RGB-D scene flow

    Mariano Jaimez;Mohamed Souiai;Javier Gonzalez-Jimenez;Daniel Cremers

  • Fast odometry and scene flow from RGB-D cameras based on geometric clustering

    Mariano Jaimez;Christian Kerl;Javier Gonzalez-Jimenez;Daniel Cremers

  • GADEN: A 3D Gas Dispersion Simulator for Mobile Robot Olfaction in Realistic Environments

    Javier Monroy;Victor Hernandez-Bennetts;Han Fan;Achim Lilienthal

  • Robust stereo visual odometry through a probabilistic combination of points and line segments

    Ruben Gomez-Ojeda;Javier Gonzalez-Jimenez

  • The Multi-Chamber Electronic Nose—An Improved Olfaction Sensor for Mobile Robotics

    Javier Gonzalez-Jimenez;Javier G. Monroy;Jose Luis Blanco

  • Convex Global 3D Registration with Lagrangian Duality

    Jesus Briales;Javier Gonzalez-Jimenez

  • Overcoming the slow recovery of MOX gas sensors through a system modeling approach.

    Javier G. Monroy;Javier González-Jiménez;Jose Luis Blanco

  • Building Multiversal Semantic Maps for Mobile Robot Operation

    Jose-Raul Ruiz-Sarmiento;Cipriano Galindo;Javier Gonzalez-Jimenez

  • Time-variant gas distribution mapping with obstacle information

    Javier G. Monroy;Jose-Luis Blanco;Javier Gonzalez-Jimenez

  • Robot@Home, a robotic dataset for semantic mapping of home environments:

    J.R. Ruiz-Sarmiento;C. Galindo;J. Gonzalez-Jimenez

  • Appearance-invariant place recognition by discriminatively training a convolutional neural network

    Manuel Lopez-Antequera;Ruben Gomez-Ojeda;Nicolai Petkov;Javier Gonzalez-Jimenez

  • Deep Single Image Camera Calibration With Radial Distortion

    Manuel Lopez;Roger Mari;Pau Gargallo;Yubin Kuang

  • Fast place recognition with plane-based maps

    E. Fernandez-Moral;W. Mayol-Cuevas;V. Arevalo;J. Gonzalez-Jimenez

  • Extrinsic calibration of a 2d laser-rangefinder and a camera based on scene corners

    Ruben Gomez-Ojeda;Jesus Briales;Eduardo Fernandez-Moral;Javier Gonzalez-Jimenez

  • Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project

    Unknown

  • Technical improvements of the Giraff telepresence robot based on users' evaluation

    J. Gonzalez-Jimenez;C. Galindo;J.R. Ruiz-Sarmiento

  • PL-SLAM: a Stereo SLAM System through the Combination of Points and Line Segments

    Ruben Gomez-Ojeda;David Zuñiga-Noël;Francisco-Angel Moreno;Davide Scaramuzza

Frequent Co-Authors

Nicolai Petkov
Nicolai Petkov University of Groningen
Daniel Cremers
Daniel Cremers Technical University of Munich
Joachim Hertzberg
Joachim Hertzberg Osnabrück University
Achim J. Lilienthal
Achim J. Lilienthal Technical University of Munich
N. Alberto Borghese
N. Alberto Borghese University of Milan
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Jörg Stückler
Jörg Stückler Max Planck Institute for Intelligent Systems
Angelo Cangelosi
Angelo Cangelosi University of Manchester
Laurent Kneip
Laurent Kneip ShanghaiTech University

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