M. Bertero
Impact in
- Mathematical Physics top 0.5%
- Numerical methods in inverse problems
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- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
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- Adaptive optics and wavefront sensing 30
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- Photoacoustic and Ultrasonic Imaging 23
- Microwave Imaging and Scattering Analysis 22
- Co-authors
- Patrizia Boccacci (72 shared papers)E. R. Pike (28 shared papers)Christine De Mol (23 shared papers)Vincent Torre (1 shared paper)Tomaso Poggio (1 shared paper)Luca Zanni (10 shared papers)Riccardo Zanella (6 shared papers)Giuseppe Vicidomini (4 shared papers)
In The Last Decade
M. Bertero
154 papers receiving 5.0k citations
M. Bertero's Hit Papers
Peers
Comparison fields: 5 of 129
- Mathematical Physics 931
- Computer Vision and Pattern Recognition 1.7k
- Biophysics 421
- Computational Mechanics 1.2k
- Structural Biology 72
Countries citing papers authored by M. Bertero
This map shows the geographic impact of M. Bertero'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 M. Bertero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bertero more than expected).
Fields of papers citing papers by M. Bertero
This network shows the impact of papers produced by M. Bertero. 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 M. Bertero. The network helps show where M. Bertero may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Bertero, 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 160 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Introduction to Inverse Problems in Imaging Hit paper breakdown → | 1998 | 1358 |
| 2 | Ill-posed problems in early vision Hit paper breakdown → | 1988 | 500 |
| 3 | 1998 | 242 | |
| 4 | 2009 | 208 | |
| 5 | 1985 | 187 | |
| 6 | 1988 | 159 | |
| 7 | 2009 | 113 | |
| 8 | 1997 | 97 | |
| 9 | Introduction to Inverse Problems in Imaging Hit paper breakdown → | 2021 | 92 |
| 10 | 1982 | 91 | |
| 11 | 1982 | 87 | |
| 12 | 2010 | 83 | |
| 13 | 1982 | 68 | |
| 14 | 1997 | 67 | |
| 15 | 1991 | 65 | |
| 16 | 2000 | 63 | |
| 17 | 2013 | 61 | |
| 18 | 2008 | 60 | |
| 19 | 2009 | 59 | |
| 20 | 2005 | 57 |
About M. Bertero
M. Bertero is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering, Mathematical Physics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 160 papers that have together received 5.4k indexed citations. Recurring topics across this work include Numerical methods in inverse problems (37 papers), Adaptive optics and wavefront sensing (30 papers), Medical Imaging Techniques and Applications (24 papers), Photoacoustic and Ultrasonic Imaging (23 papers), Advanced X-ray Imaging Techniques (22 papers), Microwave Imaging and Scattering Analysis (22 papers), Image and Signal Denoising Methods (19 papers) and Sparse and Compressive Sensing Techniques (16 papers). The work is most often cited by research in Mathematical Physics (931 citations), Computer Vision and Pattern Recognition (1.7k citations), Biophysics (421 citations), Computational Mechanics (1.2k citations) and Structural Biology (72 citations). M. Bertero has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Patrizia Boccacci, E. R. Pike, Christine De Mol, Vincent Torre, Tomaso Poggio, Luca Zanni, Riccardo Zanella, Giuseppe Vicidomini, Michele Piana and G. Desiderá. Their work appears in journals such as Inverse Problems, Astronomy and Astrophysics, Journal of the Optical Society of America A, Journal of Microscopy and Nuclear Physics A.
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.