Simone Bonechi
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Medical Image Segmentation Techniques 7
- Advanced Neural Network Applications 6
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- AI in cancer detection 7
- Co-authors
- Paolo Andreini (27 shared papers)Monica Bianchini (23 shared papers)Franco Scarselli (15 shared papers)A. Mecocci (8 shared papers)A. Mecocci (3 shared papers)Giovanna Maria Dimitri (4 shared papers)Andrea Sodi (1 shared paper)Caterina Graziani (2 shared papers)
In The Last Decade
Simone Bonechi
37 papers receiving 428 citations
Peers
Comparison fields: 5 of 78
- Biophysics 81
- Computer Vision and Pattern Recognition 165
- Media Technology 52
- Artificial Intelligence 125
- Radiology, Nuclear Medicine and Imaging 60
Countries citing papers authored by Simone Bonechi
This map shows the geographic impact of Simone Bonechi'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 Simone Bonechi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Bonechi more than expected).
Fields of papers citing papers by Simone Bonechi
This network shows the impact of papers produced by Simone Bonechi. 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 Simone Bonechi. The network helps show where Simone Bonechi may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Bonechi, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2021 | 53 | |
| 3 | 2020 | 50 | |
| 4 | 2021 | 33 | |
| 5 | 2018 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2011 | 15 | |
| 9 | 2019 | 15 | |
| 10 | Graph Neural Networks for the Prediction of Protein-Protein Interfaces. | 2020 | 14 |
| 11 | 2022 | 13 | |
| 12 | 2018 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2016 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 7 |
About Simone Bonechi
Simone Bonechi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, Nuclear and High Energy Physics and Radiation, having authored 42 papers that have together received 436 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), Medical Image Segmentation Techniques (7 papers), AI in cancer detection (7 papers), Radiation Detection and Scintillator Technologies (6 papers), Advanced Neural Network Applications (6 papers), Particle Detector Development and Performance (5 papers), Cutaneous Melanoma Detection and Management (4 papers) and Image Processing Techniques and Applications (4 papers). The work is most often cited by research in Biophysics (81 citations), Computer Vision and Pattern Recognition (165 citations), Media Technology (52 citations), Artificial Intelligence (125 citations) and Radiology, Nuclear Medicine and Imaging (60 citations). Simone Bonechi has collaborated with scholars based in Italy, Japan and Denmark. Frequent co-authors include Paolo Andreini, Monica Bianchini, Franco Scarselli, A. Mecocci, A. Mecocci, Giovanna Maria Dimitri, Andrea Sodi, Caterina Graziani, Andrea Garzelli and G. Calabrò. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Electronics, Neurocomputing, Computers in Biology and Medicine and Applied Sciences.
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.