David Alejo

618 citations
37 papers · 488 · h-index 14

Impact in

Papers in

David Alejo

33 papers receiving 464 citations

Peers

David Alejo
Comparison fields: 5 of 43
  • Aerospace Engineering 387
  • Computer Vision and Pattern Recognition 288
  • Automotive Engineering 68
  • Computer Networks and Communications 109
  • Ocean Engineering 46
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Yucong Lin United States
R. Sutton United Kingdom
Umberto Ciniglio Italy
Jawad N. Yasin Finland
Yasmina Bestaoui France
Dariusz Kominiak Sweden
Mihir Dharmadhikari Norway
Jesús Pestana Spain
Antun Ivanović Croatia
Matěj Petrlík Czechia
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Citations per field
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Citations per year

Countries citing papers authored by David Alejo

Since Specialization
Citations

This map shows the geographic impact of David Alejo'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 Alejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Alejo more than expected).

Fields of papers citing papers by David Alejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Alejo. 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 Alejo. The network helps show where David Alejo may publish in the future.

Co-authors

The 19 scholars most cited alongside David Alejo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Alejo Line = papers co-authored together David Alejo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201147
2 201346
3 200944
4 201141
5 201333
6 201426
7 201924
8 201220
9 201518
10 201517
11 201617
12 201716
13 202315
14 201314
15 201912
16 201311
17 201511
18 202010
19 201210
20 20139

About David Alejo

David Alejo is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 37 papers that have together received 488 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (23 papers), Robotics and Sensor-Based Localization (14 papers), Air Traffic Management and Optimization (14 papers), Guidance and Control Systems (11 papers), Autonomous Vehicle Technology and Safety (6 papers), Indoor and Outdoor Localization Technologies (5 papers), UAV Applications and Optimization (5 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Aerospace Engineering (387 citations), Computer Vision and Pattern Recognition (288 citations), Automotive Engineering (68 citations), Computer Networks and Communications (109 citations) and Ocean Engineering (46 citations). David Alejo has collaborated with scholars based in Spain, Chile and Australia. Frequent co-authors include J. A. Cobano, Anı́bal Ollero, Guillermo Heredia, Luís Merino, Fernando Caballero, Antidio Viguria, José Ramiro Martínez‐de Dios, Pablo Pérez-Lantero, José Miguel Díaz-Báñez and Begoña C. Arrue. Their work appears in journals such as Journal of Intelligent & Robotic Systems, IEEE Robotics and Automation Letters, Journal of Field Robotics, Sensors and Drones.

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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