David Martín

10.7k total citations · 1 hit paper
123 papers, 6.9k citations indexed

About

David Martín is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, David Martín has authored 123 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 33 papers in Automotive Engineering and 33 papers in Aerospace Engineering. Recurrent topics in David Martín's work include Autonomous Vehicle Technology and Safety (27 papers), Robotics and Sensor-Based Localization (26 papers) and Robotic Path Planning Algorithms (21 papers). David Martín is often cited by papers focused on Autonomous Vehicle Technology and Safety (27 papers), Robotics and Sensor-Based Localization (26 papers) and Robotic Path Planning Algorithms (21 papers). David Martín collaborates with scholars based in Spain, Italy and United States. David Martín's co-authors include Jitendra Malik, Charless C. Fowlkes, Doron Tal, Arturo de la Escalera, José María Armingol, Abdulla Al-Kaff, Fernando García, Ángel Madridano, Pablo Marín and Ahmed Hussein and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Hydrogen Energy and Expert Systems with Applications.

In The Last Decade

David Martín

111 papers receiving 6.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

2002 5.0k citations David Martín et al. profile →

Peers

Countries citing papers authored by David Martín

Since Specialization

Citations

This map shows the geographic impact of David Martín's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Martín more than expected).

Fields of papers citing papers by David Martín

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Martín. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Martín. The network helps show where David Martín may publish in the future.

Co-authorship network of co-authors of David Martín

This figure shows the co-authorship network connecting the top 25 collaborators of David Martín. A scholar is included among the top collaborators of David Martín based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Martín. David Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Bayesian Geometric-based Interactions Learning Model for Self-aware Autonomous Agents 2025 ·Signal Processing ·(unknown), Pablo Marín, Lucio Marcenaro, David Martín, (unknown)	0
2	Modeling Interactions Between Autonomous Agents in a Multi-Agent Self-Awareness Architecture 2025 ·IEEE Transactions on Multimedia ·(unknown), (unknown), Pamela Zontone, Lucio Marcenaro, David Martín, Carlo S. Regazzoni	2
3	Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms 2025 ·Sensors ·Kaleem Arshid, (unknown), Lucio Marcenaro, David Martín, Carlo S. Regazzoni	0
4	Vehicle localization in an explainable dynamic Bayesian network framework for self-aware agents 2025 ·Information Fusion ·(unknown), Pamela Zontone, Lucio Marcenaro, David Martín, Carlo S. Regazzoni	1
5	Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents 2024 ·CINECA IRIS Institutial Research Information System (University of Genoa) ·(unknown), (unknown), Lucio Marcenaro, David Martín, Carlo S. Regazzoni, Pamela Zontone	3
6	Battery parameter identification for unmanned aerial vehicles with hybrid power system 2024 ·Integrated Computer-Aided Engineering ·Zhuoyao He, David Martín, (unknown), (unknown), Xingcai Lü, José María Armingol	2
7	A Precise Positioning Methodology for Autonomous Navigation of a Tethered UAV for Photogrammetry 2024 ·(unknown), David Martín, Arturo de la Escalera, José María Armingol	1
8	Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference 2024 ·Computers ·(unknown), (unknown), Pablo Marín, Lucio Marcenaro, David Martín, Carlo S. Regazzoni	3
9	IOPES, a new full-fledged approach to provide an end-to-end tracking system for emergency staff 2023 ·International Journal of Disaster Risk Reduction ·(unknown), Eduard Angelats, (unknown), (unknown), Daniele Munaretto, Jordi Salvador, (unknown), (unknown), (unknown), (unknown), David Martín, Jean Bachmann	2
10	Proximal Policy Optimization for Energy Management of Electric Vehicles and PV Storage Units 2023 ·Energies ·Mónica Alonso, Hortensia Amarís, David Martín, Arturo de la Escalera	8
11	Systematic and Comprehensive Review of Clustering and Multi-Target Tracking Techniques for LiDAR Point Clouds in Autonomous Driving Applications 2023 ·Sensors ·Muhammad Adnan, (unknown), David Martín, Lucio Marcenaro, Carlo S. Regazzoni	7
12	Active Inference Integrated With Imitation Learning for Autonomous Driving 2022 ·IEEE Access ·(unknown), (unknown), Pablo Marín, Lucio Marcenaro, David Martín, Carlo S. Regazzoni	11
13	Modeling Perception in Autonomous Vehicles via 3D Convolutional Representations on LiDAR 2021 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), (unknown), Pablo Marín, Lucio Marcenaro, David Martín, Carlo S. Regazzoni	12
14	Dynamic Bayesian Collective Awareness Models for a Network of Ego-Things 2020 ·IEEE Internet of Things Journal ·(unknown), Mario Marchese, Eliane Bodanese, David Martín, Lucio Marcenaro, Carlo S. Regazzoni	5
15	Learning Probabilistic Awareness Models for Detecting Abnormalities in Vehicle Motions 2019 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), Mohamad Baydoun, Pablo Marín, David Martín, Lucio Marcenaro, Arturo de la Escalera, Carlo S. Regazzoni	10
16	Global and Local Path Planning Study in a ROS-Based Research Platform for Autonomous Vehicles 2018 ·Journal of Advanced Transportation ·Pablo Marín, Ahmed Hussein, David Martín, Arturo de la Escalera	119
17	Obstacle Detection and Avoidance System Based on Monocular Camera and Size Expansion Algorithm for UAVs 2017 ·Sensors ·Abdulla Al-Kaff, Fernando García, David Martín, Arturo de la Escalera, José María Armingol	83
18	Pose Self-Calibration of Stereo Vision Systems for Autonomous Vehicle Applications 2016 ·Sensors ·(unknown), David Martín, José María Armingol, Arturo de la Escalera	4
19	Data Fusion for Driver Behaviour Analysis 2015 ·Sensors ·Juan Carmona, Fernando García, David Martín, Arturo de la Escalera, José María Armingol	50
20	Context-Aided Sensor Fusion for Enhanced Urban Navigation 2012 ·Sensors ·Enrique Martí, David Martín, Jesús Garcı́a, Arturo de la Escalera, José M. Molina, José María Armingol	38

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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