Mario Garzón

931 citations
27 papers · 382 · h-index 11

Impact in

Papers in

Mario Garzón

23 papers receiving 368 citations

Peers

Mario Garzón
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 145
  • Aerospace Engineering 154
  • Computer Networks and Communications 73
  • Control and Systems Engineering 62
  • Geology 12
Replace Aleš Janota with:
Aleš Janota Slovakia
Pablo Javier Alsina Brazil
Ken Conley Japan
Nenad S. Jovicic Serbia
Andrew Symington United Kingdom
Gene Eu Jan Taiwan
Gonçalo Martins United States
Erik Maehle Germany
R. Zapata France
Paloma de la Puente Spain
Mario Garzón relative to Aleš Janota Slovakia Aleš Janota's profile →
Citations per field
00.5×1.5×2.3×
Aleš Janota · 1×
Citations per year

Countries citing papers authored by Mario Garzón

Since Specialization
Citations

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

Fields of papers citing papers by Mario Garzón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mario Garzón, 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 Mario Garzón Line = papers co-authored together Mario Garzón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201691
2 201359
3 201941
4 201933
5 201330
6 202118
7 201515
8 201914
9 202212
10 201510
11 201810
12 20137
13 20217
14 20156
15 20206
16
Towards a ground navigation system based in visual feedback provided by a mini UAV
20126
17 20164
18
Techniques for Area Discretization and Coverage in Aerial Photography for Precision Agriculture employing mini quad-rotors
20113
19 20193
20 20192

About Mario Garzón

Mario Garzón is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Mechanical Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 27 papers that have together received 382 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers), Modular Robots and Swarm Intelligence (5 papers), Advanced Software Engineering Methodologies (4 papers), Video Surveillance and Tracking Methods (3 papers), Software System Performance and Reliability (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Aerospace Engineering (154 citations), Computer Networks and Communications (73 citations), Control and Systems Engineering (62 citations) and Geology (12 citations). Mario Garzón has collaborated with scholars based in Spain, Netherlands and France. Frequent co-authors include Antonio Barrientos, João Valente, Juan Jesús Roldán, Jaime del Cerro, Marcela Múnera, Carlos A. Cifuentes, Anne Spalanzani, Carlos Hernández, Ricardo Sanz and Cláudio Rossi. Their work appears in journals such as Sensors, Robotics, Applied Sciences, Journal of Intelligent & Robotic Systems and Advances in Space Research.

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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