Guillermo Sapiro

834 total citations · 1 hit paper
8 papers, 603 citations indexed

About

Guillermo Sapiro is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Guillermo Sapiro has authored 8 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 1 paper in Signal Processing. Recurrent topics in Guillermo Sapiro's work include Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Guillermo Sapiro is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Image and Signal Denoising Methods (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Guillermo Sapiro collaborates with scholars based in United States, Uruguay and Germany. Guillermo Sapiro's co-authors include Julio M. Duarte‐Carvajalino, Michael Möller, Ernie Esser, Stanley Osher, Jack Xin, Hstau Y. Liao, Federico Lecumberry, Kedar A. Patwardhan, Vassilios Morellas and Lance R. Williams and has published in prestigious journals such as Communications of the ACM and IEEE Transactions on Image Processing.

In The Last Decade

Guillermo Sapiro

7 papers receiving 579 citations

Hit Papers

Learning to Sense Sparse Signals: Simultaneous Sensing Ma... 2009 2026 2014 2020 2009 100 200 300 400

Peers

Guillermo Sapiro
Comparison fields: 5 of 61
  • Computational Mechanics 398
  • Computer Vision and Pattern Recognition 240
  • Biomedical Engineering 206
  • Signal Processing 154
  • Electrical and Electronic Engineering 93
Replace Karin Schnass with:
Karin Schnass Switzerland
Mehrdad Yaghoobi United Kingdom
Suhas Lohit United States
Ender M. Ekşioğlu Türkiye
Song Li China
Jeffrey D. Blanchard United States
Michael Davies United Kingdom
Xiangyu Chang China
Jianbo Yang China
Hongping Gan China
Karin Schnass Switzerland View profile →
Citations per field, relative to Guillermo Sapiro
Guillermo Sapiro · 1×
Citations per year, relative to Guillermo Sapiro
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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).

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.

Co-authorship network of co-authors of Guillermo Sapiro

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Sapiro. A scholar is included among the top collaborators of Guillermo Sapiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guillermo Sapiro. Guillermo Sapiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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