M. Bertero
Impact in
- Mathematical Physics top 0.5%
- Numerical methods in inverse problems
-
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
-
- Numerical methods in inverse problems 37
- Radiation 22
- Advanced X-ray Imaging Techniques 22
- Co-authors
- Patrizia BoccacciE. R. PikeChristine De MolTomaso PoggioVincent TorreLuca ZanniRiccardo ZanellaGiuseppe Vicidomini
In The Last Decade
M. Bertero
154 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Mathematical Physics 927
- Computer Vision and Pattern Recognition 1.7k
- Biophysics 418
- Computational Mechanics 1.2k
- Structural Biology 71
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 1 | |
| 2 | 2014 | 20 | |
| 3 | 2012 | 35 | |
| 4 | 2009 | 16 | |
| 5 | 2009 | 43 | |
| 6 | 2009 | 25 | |
| 7 | 2006 | 9 | |
| 8 | 2006 | 17 | |
| 9 | 2003 | 25 | |
| 10 | 2002 | 23 | |
| 11 | AIRY: Astronomical Image Restoration in interferometrY | 2001 | 2 |
| 12 | 2000 | 63 | |
| 13 | Inverse problems in scattering and imaging : proceedings of a NATO advanced research workshop held at Cape Cod, USA, 14-19 April 1991 | 1992 | 1 |
| 14 | 1988 | 22 | |
| 15 | Positive regularised solutions in electromagnetic inverse scattering | 1986 | 2 |
| 16 | Iterative inversion of experimental data in weighted spaces | 1986 | 2 |
| 17 | 1985 | 24 | |
| 18 | 1984 | 29 | |
| 19 | 1982 | 91 | |
| 20 | 1968 | 13 |
About M. Bertero
M. Bertero is a scholar working on Mathematical Physics, Radiation, Computer Vision and Pattern Recognition, Applied Mathematics and Biophysics, 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 (927 citations), Computer Vision and Pattern Recognition (1.7k citations), Biophysics (418 citations), Computational Mechanics (1.2k citations) and Structural Biology (71 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, Tomaso Poggio, Vincent Torre, 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 B.
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.