Riccardo Zanella
- Mathematical Physics top 5%
- Numerical methods in inverse problems 5
- Structural Biology top 10%
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques 6
- Numerical Analysis top 10%
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- Image and Signal Denoising Methods 4
- Medical Image Segmentation Techniques 3
- Advanced Image Processing Techniques 2
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- Photoacoustic and Ultrasonic Imaging 4
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- Medical Imaging Techniques and Applications 2
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Luca ZanniM. BerteroSilvia BonettiniPatrizia BoccacciGiorgio TalentiFederico BenvenutoChristine De MolIgnace Loris
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Riccardo Zanella
14 papers receiving 548 citations
Peers
Comparison fields: 5 of 59
- Mathematical Physics 147
- Structural Biology 23
- Computational Mechanics 290
- Numerical Analysis 76
- Computer Vision and Pattern Recognition 227
Countries citing papers authored by Riccardo Zanella
This map shows the geographic impact of Riccardo Zanella'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 Riccardo Zanella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Zanella more than expected).
Fields of papers citing papers by Riccardo Zanella
This network shows the impact of papers produced by Riccardo Zanella. 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 Riccardo Zanella. The network helps show where Riccardo Zanella may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Riccardo Zanella, 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 | 2017 | 3 | |
| 2 | 2016 | 1 | |
| 3 | 2016 | 1 | |
| 4 | 2014 | 30 | |
| 5 | 2014 | 1 | |
| 6 | 2013 | 59 | |
| 7 | 2013 | 17 | |
| 8 | 2010 | 9 | |
| 9 | 2010 | 83 | |
| 10 | 2009 | 43 | |
| 11 | 2009 | 2 | |
| 12 | 2009 | 113 | |
| 13 | 2009 | 59 | |
| 14 | 2008 | 171 |
About Riccardo Zanella
Riccardo Zanella is a scholar working on Structural Biology, Mathematical Physics, Computer Vision and Pattern Recognition, Computational Mechanics and Biophysics, having authored 14 papers that have together received 592 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Numerical methods in inverse problems (5 papers), Image and Signal Denoising Methods (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Medical Image Segmentation Techniques (3 papers), Medical Imaging Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Mathematical Physics (147 citations), Structural Biology (23 citations), Computational Mechanics (290 citations), Numerical Analysis (76 citations) and Computer Vision and Pattern Recognition (227 citations). Riccardo Zanella has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Luca Zanni, M. Bertero, Silvia Bonettini, Patrizia Boccacci, Giorgio Talenti, Federico Benvenuto, Christine De Mol, Ignace Loris, Roberto Cavicchioli and Gaetano Zanghirati. Their work appears in journals such as Inverse Problems, Genome Medicine, Scientific Reports, Journal of Global Optimization and New Journal of Physics.
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.