World's Best Scientists 2026 revealed!
Luis M. Bergasa

Luis M. Bergasa

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Computer Science
Spain
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
9283
World Ranking
3359
National Ranking
53

Computer Science

D-Index
47
Citations
9476
World Ranking
6464
National Ranking
83

Luis M. Bergasa publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Luis M. Bergasa sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 212 publications — 33rd percentile

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

The last bar groups every scientist with 1,065 publications or more.

Luis M. Bergasa D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Luis M. Bergasa sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 46 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Luis M. Bergasa is affiliated with the University of Alcalá in Spain. Their research primarily spans the fields of Engineering and Computer Science, with notable contributions in subfields such as Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Control and Systems Engineering, and Artificial Intelligence.

The main topics of their work include Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Traffic Control and Management, Visual Attention and Saliency Detection, and Advanced Image and Video Retrieval Techniques.

Among recent publications, key papers include:

  • "Deep reinforcement learning based control for Autonomous Vehicles in CARLA," 2022, Multimedia Tools and Applications
  • "Reinforcement Learning-Based Autonomous Driving at Intersections in CARLA Simulator," 2022, Sensors
  • "HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring," 2022, 2022 IEEE Intelligent Vehicles Symposium (IV)
  • "A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework," 2020, Sensors
  • "How to build and validate a safe and reliable Autonomous Driving stack? A ROS based software modular architecture baseline," 2022, 2022 IEEE Intelligent Vehicles Symposium (IV)

The frequent co-authors they have collaborated with include Rafael Barea, Elena López, Carlos Gómez-Huélamo, Javier Araluce, and Manuel Ocaña.

Their work has appeared repeatedly in several publication venues, notably Sensors, arXiv (Cornell University), Multimedia Tools and Applications, the 2022 IEEE Intelligent Vehicles Symposium (IV), and IEEE Transactions on Intelligent Transportation Systems.

Luis M. Bergasa has also contributed to book publications, including a title published by Springer Nature: "Advances in Physical Agents II" (2020).

Best Publications

  • ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

    Eduardo Romera;Jose M. Alvarez;Luis M. Bergasa;Roberto Arroyo

  • Real-time system for monitoring driver vigilance

    L.M. Bergasa;J. Nuevo;M.A. Sotelo;R. Barea

  • Combination of Feature Extraction Methods for SVM Pedestrian Detection

    I.P. Alonso;D.F. Llorca;M.A. Sotelo;L.M. Bergasa

  • DriveSafe: An app for alerting inattentive drivers and scoring driving behaviors

    Luis M. Bergasa;Daniel Almeria;Javier Almazan;J. Javier Yebes

  • Assisting the Visually Impaired: Obstacle Detection and Warning System by Acoustic Feedback

    Alberto Rodríguez;J. Javier Yebes;Pablo F. Alcantarilla;Luis Miguel Bergasa

  • Need data for driver behaviour analysis? Presenting the public UAH-DriveSet

    Eduardo Romera;Luis M. Bergasa;Roberto Arroyo

  • On combining visual SLAM and dense scene flow to increase the robustness of localization and mapping in dynamic environments

    Pablo F. Alcantarilla;Jose J. Yebes;Javier Almazan;Luis M. Bergasa

  • A Color Vision-Based Lane Tracking System for Autonomous Driving on Unmarked Roads

    Miguel Angel Sotelo;Francisco Javier Rodriguez;Luis Magdalena;Luis Miguel Bergasa

  • Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls

    Roberto Arroyo;J. Javier Yebes;Luis M. Bergasa;Iván G. Daza

  • Vision-based drowsiness detector for real driving conditions

    I. Garcia;S. Bronte;L. M. Bergasa;J. Almazan

  • Efficient ConvNet for real-time semantic segmentation

    Eduardo Romera;Jose M. Alvarez;Luis M. Bergasa;Roberto Arroyo

  • Text Detection and Recognition on Traffic Panels From Street-Level Imagery Using Visual Appearance

    Alvaro Gonzalez;Luis M. Bergasa;J. Javier Yebes

  • Real-Time Hierarchical Outdoor SLAM Based on Stereovision and GPS Fusion

    D. Schleicher;L.M. Bergasa;M. Ocana;R. Barea

  • Fog detection system based on computer vision techniques

    S. Bronte;L. M. Bergasa;P. F. Alcantarilla

  • Unifying Terrain Awareness for the Visually Impaired through Real-Time Semantic Segmentation.

    Kailun Yang;Kaiwei Wang;Luis M Bergasa;Eduardo Romera

  • Electro-Oculographic Guidance of a Wheelchair Using Eye Movements Codification

    Rafael Barea;Luciano Boquete;Luis M. Bergasa;Elena López

  • EOG guidance of a wheelchair using neural networks

    R. Barea;L. Boquete;M. Mazo;E. Lopez

  • Fusion and binarization of CNN features for robust topological localization across seasons

    Roberto Arroyo;Pablo F. Alcantarilla;Luis M. Bergasa;Eduardo Romera

  • Towards life-long visual localization using an efficient matching of binary sequences from images

    Roberto Arroyo;Pablo F. Alcantarilla;Luis M. Bergasa;Eduardo Romera

  • Unsupervised and adaptive Gaussian skin-color model

    L.M. Bergasa;M. Mazo;A. Gardel;M.A. Sotelo

  • Bridging the Day and Night Domain Gap for Semantic Segmentation

    Eduardo Romera;Luis M. Bergasa;Kailun Yang;Jose M. Alvarez

  • Real-time system for monitoring driver vigilance

    L.M. Bergasa;J. Nuevo

Frequent Co-Authors

Miguel Angel Sotelo
Miguel Angel Sotelo University of Alcalá
Manuel Mazo
Manuel Mazo University of Alcalá
Kailun Yang
Kailun Yang Zhejiang University
Luis Magdalena
Luis Magdalena Technical University of Madrid
Jose M. Alvarez
Jose M. Alvarez Nvidia (United States)
Frank Dellaert
Frank Dellaert Georgia Institute of Technology
Vicente Milanés
Vicente Milanés Renault (France)
Mohan M. Trivedi
Mohan M. Trivedi University of California, San Diego
Jonas Sjöberg
Jonas Sjöberg Chalmers University of Technology
Alexander Zelinsky
Alexander Zelinsky University of Newcastle Australia

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