World's Best Scientists 2026 revealed!
Miguel Angel Sotelo

Miguel Angel Sotelo

D-Index & Metrics

Computer Science

D-Index
49
Citations
9719
World Ranking
5886
National Ranking
75

Miguel Angel Sotelo 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 Miguel Angel Sotelo 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Miguel Angel Sotelo 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 Miguel Angel Sotelo 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Miguel Angel Sotelo is affiliated with the University of Alcalá in Spain. Their research spans across multiple interrelated fields, predominantly in engineering and computer science with a strong emphasis on autonomous systems and intelligent transportation technologies.

Their main fields of study include:

  • Engineering
  • Computer Science

Within these broad fields, Sotelo's work focuses on several specialized subfields such as:

  • Computer Vision and Pattern Recognition
  • Automotive Engineering
  • Control and Systems Engineering
  • Artificial Intelligence
  • Building and Construction

The primary research topics they investigate cover aspects of vehicle automation, surveillance, traffic management, and neural network usage:

  • Autonomous Vehicle Technology and Safety
  • Video Surveillance and Tracking Methods
  • Traffic Prediction and Management Techniques
  • Advanced Neural Network Applications
  • Traffic and Road Safety
  • Robotics and Sensor-Based Localization
  • Remote Sensing and LiDAR Applications

Sotelo has an extensive publication record, with frequent contributions to key venues such as:

  • IEEE Transactions on Intelligent Transportation Systems
  • arXiv (Cornell University)
  • Journal of the American College of Cardiology
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Instrumentation and Measurement

Selected recent papers include:

  • "YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Fault Detection Filter and Controller Co-Design for Unmanned Surface Vehicles Under DoS Attacks," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes," 2022, IEEE Transactions on Intelligent Transportation Systems

The scientist's frequent collaborators include:

  • Cristina Olaverri-Monreal
  • Christoph Mecklenbraeuker
  • Nikos Papanikolopoulos
  • Yibing Wang
  • Brendan Morris

Best Publications

  • Real-time system for monitoring driver vigilance

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

  • Adaptive Road Crack Detection System by Pavement Classification

    Miguel Gavilán;David Balcones;Oscar Marcos;David F. Llorca

  • YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving

    Yingfeng Cai;Tianyu Luan;Hongbo Gao;Hai Wang

  • Combination of Feature Extraction Methods for SVM Pedestrian Detection

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

  • SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes

    Unknown

  • Autonomous Pedestrian Collision Avoidance Using a Fuzzy Steering Controller

    D F Llorca;V Milanes;I P Alonso;M Gavilan

  • Event-Triggered Adaptive Neural Fault-Tolerant Control of Underactuated MSVs With Input Saturation

    Guibing Zhu;Yong Ma;Zhixiong Li;Reza Malekian

  • Path Following Optimization for an Underactuated USV Using Smoothly-Convergent Deep Reinforcement Learning

    Yujiao Zhao;Xin Qi;Yong Ma;Zhixiong Li

  • Fast traffic sign detection and recognition under changing lighting conditions

    M.A. Garcia-Garrido;M.A. Sotelo;E. Martm-Gorostiza

  • Fault Detection Filter and Controller Co-Design for Unmanned Surface Vehicles Under DoS Attacks

    Yong Ma;Zongqiang Nie;Songlin Hu;Zhixiong Li

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

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

  • Pedestrian Path, Pose, and Intention Prediction Through Gaussian Process Dynamical Models and Pedestrian Activity Recognition

    Raul Quintero Minguez;Ignacio Parra Alonso;David Fernandez-Llorca;Miguel Angel Sotelo

  • Vehicle logo recognition in traffic images using HOG features and SVM

    D. F. Llorca;R. Arroyo;M. A. Sotelo

  • Using Fuzzy Logic in Automated Vehicle Control

    J.E. Naranjo;C. Gonzalez;R. Garcia;T. de Pedro

  • Intelligent automatic overtaking system using vision for vehicle detection

    Vicente Milanés;David F. Llorca;Jorge Villagrá;Joshué Pérez

  • Lateral control strategy for autonomous steering of Ackerman-like vehicles

    Miguel Angel Sotelo

  • VIRTUOUS: vision-based road transportation for unmanned operation on urban-like scenarios

    M.A. Sotelo;F.J. Rodriguez;L. Magdalena

  • Unsupervised and adaptive Gaussian skin-color model

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

  • Adaptive Neural Output Feedback Control for MSVs With Predefined Performance

    Guibing Zhu;Yong Ma;Zhixiong Li;Reza Malekian

  • Pedestrian Motion Trajectory Prediction in Intelligent Driving from Far Shot First-Person Perspective Video

    Yingfeng Cai;Lei Dai;Hai Wang;Long Chen

  • Indoor Robot Localization System Using WiFi Signal Measure and Minimizing Calibration Effort

    M. Ocana;L.M. Bergasa;M.A. Sotelo;J. Nuevo

  • Night time vehicle detection for driving assistance lightbeam controller

    P.F. Alcantarilla;L.M. Bergasa;P. Jimenez;M.A. Sotelo

  • Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition

    Raul Quintero;Ignacio Parra;David Fernandez Llorca;Miguel Angel Sotelo

Frequent Co-Authors

Luis M. Bergasa
Luis M. Bergasa University of Alcalá
Manuel Mazo
Manuel Mazo University of Alcalá
Luis Magdalena
Luis Magdalena Technical University of Madrid
Carlos González
Carlos González Spanish National Research Council
Weihua Li
Weihua Li University of Wollongong
Vicente Milanés
Vicente Milanés Renault (France)
Yingfeng Cai
Yingfeng Cai Tongji University
Ricardo Garcia
Ricardo Garcia Spanish National Research Council
Christoph Stiller
Christoph Stiller Karlsruhe Institute of Technology
Eduardo Nebot
Eduardo Nebot University of Sydney

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