Mario Arzamendia

20 papers and 259 indexed citations i.

About

Mario Arzamendia is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering and Water Science and Technology. According to data from OpenAlex, Mario Arzamendia has authored 20 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Ocean Engineering and 4 papers in Water Science and Technology. Recurrent topics in Mario Arzamendia’s work include Robotic Path Planning Algorithms (8 papers), Underwater Vehicles and Communication Systems (7 papers) and Maritime Navigation and Safety (6 papers). Mario Arzamendia is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Underwater Vehicles and Communication Systems (7 papers) and Maritime Navigation and Safety (6 papers). Mario Arzamendia collaborates with scholars based in Paraguay, Spain and Peru. Mario Arzamendia's co-authors include Derlis Gregor, S. L. Toral, Daniel Gutiérrez Reina, J. Sánchez-García, J.M. García-Campos, Raúl Gregor, Daniel Gutiérrez, Jorge Rodas, Federico Barrero and Nik Bessis and has published in prestigious journals such as Sensors, IEEE Access and Soft Computing.

In The Last Decade

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

Fields of papers citing papers by Mario Arzamendia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Arzamendia

Since Specialization
Citations

This map shows the geographic impact of Mario Arzamendia'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 Arzamendia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Arzamendia 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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2025