Francesca Caumo
Impact in
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- Digital Radiography and Breast Imaging
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Medical Imaging Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 7
- MRI in cancer diagnosis 7
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- Digital Radiography and Breast Imaging 20
- Co-authors
- Nehmat HoussamiSilvia BrunelliStefania MontemezziStefano CiattoPaola BricoloPetra MacaskillDaniela BernardiMarvi Valentini
In The Last Decade
Francesca Caumo
45 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Pulmonary and Respiratory Medicine 964
- Radiology, Nuclear Medicine and Imaging 653
- Artificial Intelligence 826
- Oncology 540
- Cancer Research 230
Countries citing papers authored by Francesca Caumo
This map shows the geographic impact of Francesca Caumo'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 Francesca Caumo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Caumo more than expected).
Fields of papers citing papers by Francesca Caumo
This network shows the impact of papers produced by Francesca Caumo. 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 Francesca Caumo. The network helps show where Francesca Caumo may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Caumo, 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 | 2024 | 8 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 29 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 20 | |
| 10 | 2020 | 6 | |
| 11 | 2018 | 35 | |
| 12 | 2018 | 82 | |
| 13 | 2018 | 32 | |
| 14 | 2016 | 7 | |
| 15 | 2014 | 66 | |
| 16 | 2013 | 7 | |
| 17 | 2012 | 1 | |
| 18 | 2009 | 15 | |
| 19 | 2006 | 3 | |
| 20 | 1997 | 3 |
About Francesca Caumo
Francesca Caumo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Artificial Intelligence, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (20 papers), Global Cancer Incidence and Screening (18 papers), AI in cancer detection (15 papers), Medical Imaging Techniques and Applications (12 papers), Breast Cancer Treatment Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Breast Lesions and Carcinomas (7 papers) and MRI in cancer diagnosis (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (964 citations), Radiology, Nuclear Medicine and Imaging (653 citations), Artificial Intelligence (826 citations), Oncology (540 citations) and Cancer Research (230 citations). Francesca Caumo has collaborated with scholars based in Italy, Australia and Mexico. Frequent co-authors include Nehmat Houssami, Silvia Brunelli, Stefania Montemezzi, Stefano Ciatto, Paola Bricolo, Petra Macaskill, Daniela Bernardi, Marvi Valentini, Carmine Fantò and Marco Pellegrini. Their work appears in journals such as La radiologia medica, The Breast, European Journal of Cancer, European Radiology Experimental and European Journal of Radiology.
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.