Roberto Rigamonti

7 papers and 445 indexed citations i.

About

Roberto Rigamonti is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Roberto Rigamonti has authored 7 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Artificial Intelligence. Recurrent topics in Roberto Rigamonti’s work include Sparse and Compressive Sensing Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Retinal Imaging and Analysis (2 papers). Roberto Rigamonti is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Retinal Imaging and Analysis (2 papers). Roberto Rigamonti collaborates with scholars based in Switzerland, Italy and United States. Roberto Rigamonti's co-authors include Vincent Lepetit, Pascal Fua, Matthew A. Brown, Amos Sironi, Carlos Becker, Bugra Tekin, Domenico G. Sorrenti, Matteo Matteucci, Davide Migliore and Engin Türetken and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Roberto Rigamonti i

Fields of papers citing papers by Roberto Rigamonti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Rigamonti

Since Specialization
Citations

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