M. Peroni
- Radiology, Nuclear Medicine and Imaging top 2%
- Radiation top 1%
- Pulmonary and Respiratory Medicine top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- G SharpKarl FritscherG. BaroniMarco RiboldiNadya ShusharinaJinzhong YangVladimír PekarHarini Veeraraghavan
- Topics
- Advanced Radiotherapy Techniques (22 papers)Medical Imaging Techniques and Applications (13 papers)Radiation Therapy and Dosimetry (10 papers)
- Journals
- International Journal of Radiation Oncology*Biology*PhysicsPhysics in Medicine and BiologyMedical Physics
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
M. Peroni
36 papers receiving 992 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 682
- Radiation 660
- Pulmonary and Respiratory Medicine 410
- Biomedical Engineering 266
- Computer Vision and Pattern Recognition 148
Countries citing papers authored by M. Peroni
This map shows the geographic impact of M. Peroni'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. Peroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Peroni more than expected).
Fields of papers citing papers by M. Peroni
This network shows the impact of papers produced by M. Peroni. 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. Peroni. The network helps show where M. Peroni may publish in the future.
Co-authorship network of co-authors of M. Peroni
This figure shows the co-authorship network connecting the top 25 collaborators of M. Peroni. A scholar is included among the top collaborators of M. Peroni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Peroni. M. Peroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 12 | |
| 3 | 27 | |
| 4 | 14 | |
| 5 | 24 | |
| 6 | 96 | |
| 7 | 26 | |
| 8 | 44 | |
| 9 | 50 | |
| 10 | 28 | |
| 11 | Vision 20/20: Perspectives on automated image segmentation for radiotherapybreakdown → | 284 |
| 12 | 26 | |
| 13 | 97 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 56 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 9 |
About M. Peroni
M. Peroni is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (22 papers), Medical Imaging Techniques and Applications (13 papers) and Radiation Therapy and Dosimetry (10 papers). The work is most often cited by research in Radiation (660 citations), Radiology, Nuclear Medicine and Imaging (682 citations) and Pulmonary and Respiratory Medicine (410 citations). M. Peroni has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include G Sharp, Karl Fritscher, G. Baroni, Marco Riboldi, Nadya Shusharina, Jinzhong Yang, Vladimír Pekar, Harini Veeraraghavan, Antony Lomax and Maria Francesca Spadea. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Physics in Medicine and Biology and Medical 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.