Mario Garzón

20 papers and 288 indexed citations i.

About

Mario Garzón is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Mario Garzón has authored 20 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Mario Garzón’s work include Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (6 papers) and Modular Robots and Swarm Intelligence (4 papers). Mario Garzón is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (6 papers) and Modular Robots and Swarm Intelligence (4 papers). Mario Garzón collaborates with scholars based in Spain, The Netherlands and France. Mario Garzón's co-authors include Antonio Barrientos, Juan Jesús Roldán, João Valente, Jaime del Cerro, J. de la Fuente León, Carlos A. Cifuentes, Marcela Múnera, Carlos Hernández, Ricardo Sanz and Andrzej Wąsowski and has published in prestigious journals such as Sensors, Applied Sciences and Advances in Space Research.

In The Last Decade

Co-authorship network of co-authors of Mario Garzón i

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.

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).

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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