Benjamin Miraglio
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 1
- Medical Imaging Techniques and Applications 1
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- Advanced X-ray and CT Imaging 4
- Co-authors
- Fadila Zerka (7 shared papers)Philippe Lambin (7 shared papers)Seán Walsh (4 shared papers)Ralph T. H. Leijenaar (7 shared papers)Akshayaa Vaidyanathan (6 shared papers)Wim Vos (3 shared papers)Nathan Tsoutzidis (3 shared papers)Roland Hustinx (1 shared paper)
- Journals
- Scientific Reports (1 paper)Radiotherapy and Oncology (1 paper)IEEE Access (1 paper)Annals of Oncology (1 paper)Medicinal Research Reviews (1 paper)
- Partner nations
- NetherlandsBelgiumSwitzerland
In The Last Decade
Benjamin Miraglio
7 papers receiving 377 citations
Benjamin Miraglio's Hit Papers
Peers
Comparison fields: 5 of 76
- Health Informatics 56
- Radiology, Nuclear Medicine and Imaging 203
- Otorhinolaryngology 17
- Artificial Intelligence 104
- Health Information Management 14
Countries citing papers authored by Benjamin Miraglio
This map shows the geographic impact of Benjamin Miraglio'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 Benjamin Miraglio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Miraglio more than expected).
Fields of papers citing papers by Benjamin Miraglio
This network shows the impact of papers produced by Benjamin Miraglio. 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 Benjamin Miraglio. The network helps show where Benjamin Miraglio may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Miraglio, 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 | A review in radiomics: Making personalized medicine a reality via routine imaging Hit paper breakdown → | 2021 | 192 |
| 2 | 2020 | 80 | |
| 3 | 2020 | 61 | |
| 4 | 2021 | 44 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 1 |
About Benjamin Miraglio
Benjamin Miraglio is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Health Informatics and Artificial Intelligence, having authored 7 papers that have together received 380 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), Artificial Intelligence in Healthcare and Education (2 papers), Gastric Cancer Management and Outcomes (1 paper), AI in cancer detection (1 paper), COVID-19 diagnosis using AI (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (203 citations), Otorhinolaryngology (17 citations), Artificial Intelligence (104 citations) and Health Information Management (14 citations). Benjamin Miraglio has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Fadila Zerka, Philippe Lambin, Seán Walsh, Ralph T. H. Leijenaar, Akshayaa Vaidyanathan, Wim Vos, Nathan Tsoutzidis, Roland Hustinx, Marta S. Ferreira and Louis Deprez. Their work appears in journals such as Scientific Reports, Radiotherapy and Oncology, IEEE Access, Annals of Oncology and Medicinal Research Reviews.
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.