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Arturo de la Escalera

Arturo de la Escalera

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
31
Citations
3595
World Ranking
3310
National Ranking
40

Computer Science

D-Index
32
Citations
4017
World Ranking
13218
National Ranking
255

Arturo de la Escalera publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where Arturo de la Escalera sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 106 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

Arturo de la Escalera D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Arturo de la Escalera sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

Arturo de la Escalera is affiliated with Carlos III University of Madrid in Spain. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields including Computer Vision and Pattern Recognition, Automotive Engineering, Aerospace Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

The scientist has contributed to a range of topics, notably in areas such as Video Surveillance and Tracking Methods, Robotic Path Planning Algorithms, Robotics and Sensor-Based Localization, Autonomous Vehicle Technology and Safety, Advanced Neural Network Applications, Transportation and Mobility Innovations, and UAV Applications and Optimization.

Frequent co-authors collaborating with Arturo de la Escalera include David Martín, Fernando García, María J. Gómez-Silva, José María Armingol, and Ángel Madridano.

Their publications frequently appear in scientific journals and conferences with repeated contributions to Sensors, Jornadas de Automática, Expert Systems with Applications, Electronics, and Robotics and Autonomous Systems.

Notable recent papers include:

  • Trajectory planning for multi-robot systems: Methods and applications, 2021, Expert Systems with Applications
  • Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups, 2022, IEEE Transactions on Intelligent Transportation Systems
  • eHMI: Review and Guidelines for Deployment on Autonomous Vehicles, 2021, Sensors
  • 3D Trajectory Planning Method for UAVs Swarm in Building Emergencies, 2020, Sensors
  • Software Architecture for Autonomous and Coordinated Navigation of UAV Swarms in Forest and Urban Firefighting, 2021, Applied Sciences

These publications reflect ongoing research interests that involve multi-robot systems, sensor calibration, human-machine interfaces on autonomous vehicles, UAV swarm trajectory planning, and software architecture for autonomous navigation.

Best Publications

  • BirdNet: A 3D Object Detection Framework from LiDAR Information

    Jorge Beltran;Carlos Guindel;Francisco Miguel Moreno;Daniel Cruzado

  • Survey of computer vision algorithms and applications for unmanned aerial vehicles

    Abdulla Al-Kaff;David Martín;Fernando García;Arturo de la Escalera

  • Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups

    Unknown

  • Trajectory planning for multi-robot systems: Methods and applications

    Ángel Madridano;Abdulla Al-Kaff;David Martín;Arturo de la Escalera

  • Automatic Chessboard Detection for Intrinsic and Extrinsic Camera Parameter Calibration

    Arturo De la Escalera;Jose María Armingol

  • Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles

    Pablo Marin-Plaza;Ahmed Hussein;David Martin;Arturo de la Escalera

  • A Genetic Algorithm for Mobile Robot Localization Using Ultrasonic Sensors

    Luis Moreno;Jose M. Armingol;Santiago Garrido;Arturo De La Escalera

  • Sensor Fusion Methodology for Vehicle Detection

    Fernando Garcia;David Martin;Arturo de la Escalera;Jose Maria Armingol

  • Real-Time Warning System for Driver Drowsiness Detection Using Visual Information

    Marco Javier Flores;José María Armingol;Arturo de la Escalera

  • Obstacle Detection and Avoidance System Based on Monocular Camera and Size Expansion Algorithm for UAVs

    Abdulla Al-Kaff;Fernando García;David Martín;Arturo De La Escalera

  • Data fusion for overtaking vehicle detection based on radar and optical flow

    Fernando Garcia;Pietro Cerri;Alberto Broggi;Arturo de la Escalera

  • Pedestrian detection in far infrared images

    Daniel Olmeda;Cristiano Premebida;Urbano Nunes;Jose Maria Armingol

  • Driver drowsiness warning system using visual information for both diurnal and nocturnal illumination conditions

    Marco Javier Flores;José María Armingol;Arturo de la Escalera

  • Data Fusion for Driver Behaviour Analysis

    Juan Carmona;Fernando García;David Martín;Arturo de la Escalera

  • IVVI: Intelligent vehicle based on visual information

    José María Armingol;Arturo de la Escalera;Cristina Hilario;Juan M. Collado

  • eHMI: Review and Guidelines for Deployment on Autonomous Vehicles

    Juan Carmona;Carlos Guindel;Fernando Garcia;Arturo de la Escalera

  • Autonomous off-road navigation using stereo-vision and laser-rangefinder fusion for outdoor obstacles detection

    Ahmed Hussein;Pablo Marin-Plaza;David Martin;Arturo de la Escalera

  • Context-Aided Sensor Fusion for Enhanced Urban Navigation

    Enrique David Martí;David Martín;Jesús García;Arturo de la Escalera

  • Contrast invariant features for human detection in far infrared images

    Daniel Olmeda;Arturo de la Escalera;Jose Maria Armingol

  • Identifying and Tracking Pedestrians Based on Sensor Fusion and Motion Stability Predictions

    Basam Musleh;Fernando Mayorga García;Javier Otamendi;José Mª Armingol

  • An Appearance-Based Tracking Algorithm for Aerial Search and Rescue Purposes

    Abdulla Al-Kaff;María José Gómez-Silva;Francisco Miguel Moreno;Arturo de la Escalera

  • Driver Monitoring Based on Low-Cost 3-D Sensors

    A C Gustavo Peláez;Fernando García;Arturo de la Escalera;José María Armingol

Frequent Co-Authors

José María Armingol
José María Armingol Carlos III University of Madrid
Carlo S. Regazzoni
Carlo S. Regazzoni University of Genoa
Angel D. Sappa
Angel D. Sappa Escuela Superior Politecnica del Litoral
Ebroul Izquierdo
Ebroul Izquierdo Queen Mary University of London
Urbano Nunes
Urbano Nunes University of Coimbra
Javier Del Ser
Javier Del Ser University of the Basque Country
Alberto Broggi
Alberto Broggi University of Parma
Antonio M. López
Antonio M. López Autonomous University of Barcelona

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