Yago Díez

38 papers and 491 indexed citations i.

About

Yago Díez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Yago Díez has authored 38 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Environmental Engineering. Recurrent topics in Yago Díez’s work include Remote Sensing and LiDAR Applications (10 papers), Medical Image Segmentation Techniques (8 papers) and AI in cancer detection (8 papers). Yago Díez is often cited by papers focused on Remote Sensing and LiDAR Applications (10 papers), Medical Image Segmentation Techniques (8 papers) and AI in cancer detection (8 papers). Yago Díez collaborates with scholars based in Japan, Spain and The Netherlands. Yago Díez's co-authors include Maximo Larry Lopez Caceres, Xavier Lladó, Joaquím Salví, Mariano Cabezas, Arnau Oliver, Joan Martı́, Robert Martí, Motohisa Fukuda, Daniel Serrano and Àlex Rovira and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Sensors and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Yago Díez i

Fields of papers citing papers by Yago Díez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yago Díez

Since Specialization
Citations

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