Marco Prato

55 papers and 901 indexed citations i.

About

Marco Prato is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Marco Prato has authored 55 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 19 papers in Computer Vision and Pattern Recognition and 14 papers in Mathematical Physics. Recurrent topics in Marco Prato’s work include Sparse and Compressive Sensing Techniques (29 papers), Inverse Problems in Mathematical Physics and Imaging (14 papers) and Image and Signal Denoising Methods (11 papers). Marco Prato is often cited by papers focused on Sparse and Compressive Sensing Techniques (29 papers), Inverse Problems in Mathematical Physics and Imaging (14 papers) and Image and Signal Denoising Methods (11 papers). Marco Prato collaborates with scholars based in Italy, United States and United Kingdom. Marco Prato's co-authors include Silvia Bonettini, Michele Piana, A. G. Emslie, Eduard P. Kontar, Federica Porta, Luca Zanni, Anna Maria Massone, Ignace Loris, M. Bertero and Jean‐Christophe Pesquet and has published in prestigious journals such as The Astrophysical Journal, NeuroImage and Astronomy and Astrophysics.

In The Last Decade

Co-authorship network of co-authors of Marco Prato i

Fields of papers citing papers by Marco Prato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Prato

Since Specialization
Citations

This map shows the geographic impact of Marco Prato'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 Marco Prato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Prato 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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2025