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
- COVID-19 diagnosis using AI
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
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- Advanced X-ray and CT Imaging 4
- Co-authors
- Seán Walsh (4 shared papers)Philippe Lambin (7 shared papers)Fadila Zerka (7 shared papers)Ralph T. H. Leijenaar (7 shared papers)Akshayaa Vaidyanathan (6 shared papers)Wim Vos (3 shared papers)Fabio Bottari (1 shared paper)Roland Hustinx (1 shared paper)
- Journals
- IEEE Access (1 paper)Radiotherapy and Oncology (1 paper)Medicinal Research Reviews (1 paper)Annals of Oncology (1 paper)JCO Clinical Cancer Informatics (1 paper)
- Partner nations
- NetherlandsBelgiumSwitzerland
In The Last Decade
Benjamin Miraglio
7 papers receiving 402 citations
Benjamin Miraglio's Hit Papers
Peers
Comparison fields: 5 of 71
- Health Informatics 48
- Radiology, Nuclear Medicine and Imaging 136
- Otorhinolaryngology 13
- Artificial Intelligence 89
- Health Information Management 10
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 | 213 |
| 2 | 2020 | 83 | |
| 3 | 2020 | 63 | |
| 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 406 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), Privacy-Preserving Technologies in Data (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Ethics in Clinical Research (1 paper), Obstructive Sleep Apnea Research (1 paper) and Phonocardiography and Auscultation Techniques (1 paper). The work is most often cited by research in Health Informatics (48 citations), Radiology, Nuclear Medicine and Imaging (136 citations), Otorhinolaryngology (13 citations), Artificial Intelligence (89 citations) and Health Information Management (10 citations). Benjamin Miraglio has collaborated with scholars based in Netherlands, Belgium and Switzerland. Frequent co-authors include Seán Walsh, Philippe Lambin, Fadila Zerka, Ralph T. H. Leijenaar, Akshayaa Vaidyanathan, Wim Vos, Fabio Bottari, Roland Hustinx, Denis Danthine and Marta S. Ferreira. Their work appears in journals such as IEEE Access, Radiotherapy and Oncology, Medicinal Research Reviews, Annals of Oncology and JCO Clinical Cancer Informatics.
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.