Carlos Orrite-Uruñuela

About

Carlos Orrite-Uruñuela is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Carlos Orrite-Uruñuela has authored 6 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Carlos Orrite-Uruñuela’s work include Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (4 papers) and Gait Recognition and Analysis (2 papers). Carlos Orrite-Uruñuela is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Human Pose and Action Recognition (4 papers) and Gait Recognition and Analysis (2 papers). Carlos Orrite-Uruñuela collaborates with scholars based in Spain and United Kingdom. Carlos Orrite-Uruñuela's co-authors include Grégory Rogez, Elías Herrero, Jesús Martínez del Rincón and Philip H. S. Torr and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Carlos Orrite-Uruñuela i

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Fields of papers citing papers by Carlos Orrite-Uruñuela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Orrite-Uruñuela. 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 Carlos Orrite-Uruñuela. The network helps show where Carlos Orrite-Uruñuela may publish in the future.

Countries citing papers authored by Carlos Orrite-Uruñuela

Since Specialization

Citations

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