Veronica Rizzo
Impact in
- Health Informatics top 10%
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
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- Digital Radiography and Breast Imaging 4
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 4
- Co-authors
- Federica Pediconi (22 shared papers)Francesca Galati (21 shared papers)Giuliana Moffa (17 shared papers)Carlo Catalano (8 shared papers)A Wali (1 shared paper)Tom Routledge (1 shared paper)Andrea Billè (1 shared paper)April J. Chambers (1 shared paper)
- Journals
- European Radiology Experimental (4 papers)Insights into Imaging (2 papers)Frontiers in Oncology (2 papers)La radiologia medica (2 papers)Cancers (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Veronica Rizzo
25 papers receiving 356 citations
Peers
Comparison fields: 5 of 49
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 98
- Cancer Research 55
- Pulmonary and Respiratory Medicine 76
- Rheumatology 32
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 54 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 41 | |
| 4 | 2022 | 25 | |
| 5 | 2020 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2024 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Veronica Rizzo
Veronica Rizzo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Artificial Intelligence, having authored 30 papers that have together received 363 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Breast Cancer Treatment Studies (4 papers), Digital Radiography and Breast Imaging (4 papers), Nutrition and Health in Aging (3 papers), AI in cancer detection (3 papers), Ultrasound and Hyperthermia Applications (2 papers) and Multiple and Secondary Primary Cancers (2 papers). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (98 citations), Cancer Research (55 citations), Pulmonary and Respiratory Medicine (76 citations) and Rheumatology (32 citations). Veronica Rizzo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Federica Pediconi, Francesca Galati, Giuliana Moffa, Carlo Catalano, A Wali, Tom Routledge, Andrea Billè, April J. Chambers, Giulia d’Amati and Maria Ida Amabile. Their work appears in journals such as European Radiology Experimental, Insights into Imaging, Frontiers in Oncology, La radiologia medica and Cancers.
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.