Veronica Rizzo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
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- Breast Cancer Treatment Studies
Papers in
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- MRI in cancer diagnosis 9
- Radiomics and Machine Learning in Medical Imaging 6
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- Digital Radiography and Breast Imaging 4
- Co-authors
- Federica Pediconi (22 shared papers)Francesca Galati (20 shared papers)April J. Chambers (1 shared paper)A Wali (1 shared paper)Tom Routledge (1 shared paper)Andrea Billè (1 shared paper)Carlo Catalano (8 shared papers)Giulia d’Amati (3 shared papers)
- Journals
- European Radiology Experimental (3 papers)Insights into Imaging (2 papers)Cancers (2 papers)Frontiers in Oncology (2 papers)La radiologia medica (2 papers)
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Veronica Rizzo
24 papers receiving 308 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 122
- Cancer Research 76
- Health Informatics 6
- Pulmonary and Respiratory Medicine 82
- Pathology and Forensic Medicine 45
Countries citing papers authored by Veronica Rizzo
This map shows the geographic impact of Veronica Rizzo'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 Veronica Rizzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica Rizzo more than expected).
Fields of papers citing papers by Veronica Rizzo
This network shows the impact of papers produced by Veronica Rizzo. 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 Veronica Rizzo. The network helps show where Veronica Rizzo may publish in the future.
Co-authors
The 25 scholars most cited alongside Veronica Rizzo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2020 | 39 | |
| 3 | 2020 | 38 | |
| 4 | 2022 | 24 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Veronica Rizzo
Veronica Rizzo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology and Cancer Research, having authored 28 papers that have together received 314 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (9 papers), Breast Cancer Treatment Studies (7 papers), Breast Lesions and Carcinomas (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Digital Radiography and Breast Imaging (4 papers), Nutrition and Health in Aging (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (122 citations), Cancer Research (76 citations), Health Informatics (6 citations), Pulmonary and Respiratory Medicine (82 citations) and Pathology and Forensic Medicine (45 citations). Veronica Rizzo has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Federica Pediconi, Francesca Galati, April J. Chambers, A Wali, Tom Routledge, Andrea Billè, Carlo Catalano, Giulia d’Amati, Alessio Molfino and Giuseppe Nigri. Their work appears in journals such as European Radiology Experimental, Insights into Imaging, Cancers, Frontiers in Oncology and La radiologia medica.
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.