Guillermo Sapiro

356 papers and 28.9k indexed citations i.

About

Guillermo Sapiro is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Guillermo Sapiro has authored 356 papers receiving a total of 28.9k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computer Vision and Pattern Recognition, 89 papers in Computational Mechanics and 55 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Guillermo Sapiro’s work include Medical Image Segmentation Techniques (55 papers), Sparse and Compressive Sensing Techniques (49 papers) and Image and Signal Denoising Methods (47 papers). Guillermo Sapiro is often cited by papers focused on Medical Image Segmentation Techniques (55 papers), Sparse and Compressive Sensing Techniques (49 papers) and Image and Signal Denoising Methods (47 papers). Guillermo Sapiro collaborates with scholars based in United States, Israel and Uruguay. Guillermo Sapiro's co-authors include Julien Mairal, Vicent Caselles, Ron Kimmel, Jean Ponce, Marcelo Bertalmı́o, Francis Bach, Alberto Bartesaghi, Sriram Subramaniam, Michael Elad and Mario J. Borgnia and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Co-authorship network of co-authors of Guillermo Sapiro i

Fields of papers citing papers by Guillermo Sapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guillermo Sapiro

Since Specialization
Citations

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