A. Scaggion
- Radiation top 5%
- Advanced Radiotherapy Techniques 21
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- Medical Imaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 6
- Radiation Dose and Imaging 5
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- Radiation Therapy and Dosimetry 5
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- Advanced X-ray and CT Imaging 7
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- Magnetic confinement fusion research 4
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- Ionosphere and magnetosphere dynamics 3
- Co-authors
- Marta PaiuscoMarco RossatoM. FusellaA. RoggioAndrea BettinelliMatteo SepulcriN. VianelloP. Scarin
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
A. Scaggion
28 papers receiving 300 citations
Peers
Comparison fields: 5 of 42
- Radiation 212
- Radiology, Nuclear Medicine and Imaging 192
- Health Informatics 11
- Pulmonary and Respiratory Medicine 119
- Otorhinolaryngology 12
Countries citing papers authored by A. Scaggion
This map shows the geographic impact of A. Scaggion'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 A. Scaggion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Scaggion more than expected).
Fields of papers citing papers by A. Scaggion
This network shows the impact of papers produced by A. Scaggion. 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 A. Scaggion. The network helps show where A. Scaggion may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Scaggion, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 12 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 69 | |
| 17 | 2018 | 9 | |
| 18 | 2016 | 15 | |
| 19 | 2013 | 5 | |
| 20 | Inter-machine scalings of plasma filament electromagnetic features | 2012 | 0 |
About A. Scaggion
A. Scaggion is a scholar working on Radiation, Health Informatics, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (21 papers), Medical Imaging Techniques and Applications (8 papers), Advanced X-ray and CT Imaging (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Radiation Dose and Imaging (5 papers), Radiation Therapy and Dosimetry (5 papers), Magnetic confinement fusion research (4 papers) and Ionosphere and magnetosphere dynamics (3 papers). The work is most often cited by research in Radiation (212 citations), Radiology, Nuclear Medicine and Imaging (192 citations), Health Informatics (11 citations), Pulmonary and Respiratory Medicine (119 citations) and Otorhinolaryngology (12 citations). A. Scaggion has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Marta Paiusco, Marco Rossato, M. Fusella, A. Roggio, Andrea Bettinelli, Matteo Sepulcri, N. Vianello, P. Scarin, G. Spizzo and M. Agostini. Their work appears in journals such as Physica Medica, Radiotherapy and Oncology, Medical Physics, Journal of Applied Clinical Medical Physics and Physics and Imaging in Radiation Oncology.
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.