Enrico Magli

203 papers and 3.1k indexed citations i.

About

Enrico Magli is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Enrico Magli has authored 203 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Computer Vision and Pattern Recognition, 61 papers in Computational Mechanics and 52 papers in Signal Processing. Recurrent topics in Enrico Magli’s work include Sparse and Compressive Sensing Techniques (53 papers), Image and Signal Denoising Methods (52 papers) and Advanced Data Compression Techniques (50 papers). Enrico Magli is often cited by papers focused on Sparse and Compressive Sensing Techniques (53 papers), Image and Signal Denoising Methods (52 papers) and Advanced Data Compression Techniques (50 papers). Enrico Magli collaborates with scholars based in Italy, Spain and France. Enrico Magli's co-authors include Gabriella Olmo, Diego Valsesia, Giulia Fracastoro, Marco Grangetto, Barbara Penna, Tiziano Bianchi, Tammam Tillo, Valerio Bioglio, Giulio Coluccia and Sophie M. Fosson and has published in prestigious journals such as The Astrophysical Journal, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Enrico Magli i

Fields of papers citing papers by Enrico Magli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enrico Magli

Since Specialization
Citations

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