Marco Prato
Impact in
- Numerical Analysis top 5%
- Advanced Optimization Algorithms Research
- Mathematical Physics top 10%
- Numerical methods in inverse problems
Papers in
-
- Sparse and Compressive Sensing Techniques 27
-
- Image and Signal Denoising Methods 12
- Advanced Image Processing Techniques 9
- Co-authors
- Silvia Bonettini (22 shared papers)Luca Zanni (8 shared papers)Federica Porta (6 shared papers)Michele Piana (9 shared papers)Anna Maria Massone (9 shared papers)A. G. Emslie (8 shared papers)Eduard P. Kontar (8 shared papers)Ignace Loris (3 shared papers)
- Journals
- Inverse Problems (6 papers)Computational Optimization and Applications (5 papers)The Astrophysical Journal (5 papers)Applied Mathematics and Computation (3 papers)Journal of Scientific Computing (2 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Marco Prato
53 papers receiving 649 citations
Peers
Comparison fields: 5 of 93
- Numerical Analysis 96
- Mathematical Physics 98
- Computational Mechanics 220
- Astronomy and Astrophysics 132
- Computer Vision and Pattern Recognition 162
Countries citing papers authored by Marco Prato
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).
Fields of papers citing papers by Marco Prato
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.
Co-authors
The 25 scholars most cited alongside Marco Prato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2016 | 53 | |
| 3 | 2011 | 51 | |
| 4 | 2011 | 41 | |
| 5 | 2012 | 35 | |
| 6 | 2004 | 33 | |
| 7 | 2007 | 32 | |
| 8 | 2009 | 27 | |
| 9 | 2017 | 25 | |
| 10 | 2015 | 23 | |
| 11 | 2008 | 21 | |
| 12 | 2010 | 20 | |
| 13 | 2013 | 20 | |
| 14 | 2023 | 19 | |
| 15 | 2007 | 18 | |
| 16 | 2018 | 18 | |
| 17 | 2020 | 17 | |
| 18 | 2011 | 16 | |
| 19 | 2006 | 15 | |
| 20 | 2020 | 12 |
About Marco Prato
Marco Prato is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Artificial Intelligence, Mathematical Physics and Biomedical Engineering, having authored 57 papers that have together received 694 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (27 papers), Numerical methods in inverse problems (13 papers), Image and Signal Denoising Methods (12 papers), Advanced Image Processing Techniques (9 papers), Solar and Space Plasma Dynamics (9 papers), Photoacoustic and Ultrasonic Imaging (8 papers), Advanced Optimization Algorithms Research (8 papers) and Solar Radiation and Photovoltaics (6 papers). The work is most often cited by research in Numerical Analysis (96 citations), Mathematical Physics (98 citations), Computational Mechanics (220 citations), Astronomy and Astrophysics (132 citations) and Computer Vision and Pattern Recognition (162 citations). Marco Prato has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Silvia Bonettini, Luca Zanni, Federica Porta, Michele Piana, Anna Maria Massone, A. G. Emslie, Eduard P. Kontar, Ignace Loris, Émilie Chouzenoux and Jean‐Christophe Pesquet. Their work appears in journals such as Inverse Problems, Computational Optimization and Applications, The Astrophysical Journal, Applied Mathematics and Computation and Journal of Scientific Computing.
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.