Alfonso Reginelli
Impact in
- Health Informatics top 0.5%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 40
- MRI in cancer diagnosis 10
- COVID-19 diagnosis using AI 10
-
- Lung Cancer Diagnosis and Treatment 18
- Tracheal and airway disorders 12
- Co-authors
- Luca BruneseSalvatore CappabiancaFrancesco MercaldoAntonella SantoneRoberto GrassiMaria Paola BelfioreFrancesca IacobellisRoberta Grassi
- Journals
- La radiologia medica (22 papers)International Journal of Surgery (11 papers)Seminars in Ultrasound CT and MRI (8 papers)Medical Oncology (8 papers)Journal of Personalized Medicine (8 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Alfonso Reginelli
230 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Health Informatics 178
- Radiology, Nuclear Medicine and Imaging 1.7k
- Surgery 1.9k
- Pulmonary and Respiratory Medicine 1.2k
- Emergency Medicine 313
Countries citing papers authored by Alfonso Reginelli
This map shows the geographic impact of Alfonso Reginelli'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 Alfonso Reginelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfonso Reginelli more than expected).
Fields of papers citing papers by Alfonso Reginelli
This network shows the impact of papers produced by Alfonso Reginelli. 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 Alfonso Reginelli. The network helps show where Alfonso Reginelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alfonso Reginelli, 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 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 31 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 35 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 0 | |
| 16 | 2019 | 4 | |
| 17 | 2018 | 71 | |
| 18 | 2013 | 10 | |
| 19 | 2013 | 4 | |
| 20 | Valutazione con TC multistrato di noduli polmonari ilari per l’eventuale infiltrazione delle strutture vascolo-bronchiali | 2013 | 1 |
About Alfonso Reginelli
Alfonso Reginelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Health Informatics, Surgery and Oncology, having authored 247 papers that have together received 5.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (40 papers), Lung Cancer Diagnosis and Treatment (18 papers), Advanced X-ray and CT Imaging (13 papers), Tracheal and airway disorders (12 papers), Dysphagia Assessment and Management (11 papers), Diverticular Disease and Complications (11 papers), MRI in cancer diagnosis (10 papers) and COVID-19 diagnosis using AI (10 papers). The work is most often cited by research in Health Informatics (178 citations), Radiology, Nuclear Medicine and Imaging (1.7k citations), Surgery (1.9k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Emergency Medicine (313 citations). Alfonso Reginelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Luca Brunese, Salvatore Cappabianca, Francesco Mercaldo, Antonella Santone, Roberto Grassi, Maria Paola Belfiore, Francesca Iacobellis, Roberta Grassi, Marcello Zappia and Antonio Rotondò. Their work appears in journals such as La radiologia medica, International Journal of Surgery, Seminars in Ultrasound CT and MRI, Medical Oncology and Journal of Personalized Medicine.
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.