Anna Rotili
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
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- MRI in cancer diagnosis 16
- Radiomics and Machine Learning in Medical Imaging 14
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- AI in cancer detection 10
- Co-authors
- Enrico Cassano (39 shared papers)Filippo Pesapane (38 shared papers)Silvia Penco (25 shared papers)Luca Nicosia (25 shared papers)Anna Carla Bozzini (21 shared papers)Sara Raimondi (8 shared papers)Giovanni Simonetti (2 shared papers)E Fanucci (1 shared paper)
- Journals
- Cancers (9 papers)British Journal of Radiology (4 papers)La radiologia medica (4 papers)Breast Cancer Research and Treatment (3 papers)Medical Oncology (2 papers)
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Anna Rotili
46 papers receiving 761 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 92
- Radiology, Nuclear Medicine and Imaging 345
- Cancer Research 87
- Oncology 101
- Artificial Intelligence 127
Countries citing papers authored by Anna Rotili
This map shows the geographic impact of Anna Rotili'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 Anna Rotili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Rotili more than expected).
Fields of papers citing papers by Anna Rotili
This network shows the impact of papers produced by Anna Rotili. 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 Anna Rotili. The network helps show where Anna Rotili may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Rotili, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 69 | |
| 2 | 2020 | 57 | |
| 3 | 2021 | 57 | |
| 4 | 2020 | 51 | |
| 5 | 2022 | 47 | |
| 6 | 2023 | 43 | |
| 7 | 2023 | 40 | |
| 8 | 2022 | 39 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 33 | |
| 11 | 2022 | 32 | |
| 12 | 2019 | 30 | |
| 13 | 2023 | 20 | |
| 14 | 2023 | 15 | |
| 15 | 2024 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2011 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 12 |
About Anna Rotili
Anna Rotili is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology, Cancer Research and Surgery, having authored 48 papers that have together received 780 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (10 papers), Breast Cancer Treatment Studies (8 papers), Global Cancer Incidence and Screening (6 papers), Breast Implant and Reconstruction (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Health Informatics (92 citations), Radiology, Nuclear Medicine and Imaging (345 citations), Cancer Research (87 citations), Oncology (101 citations) and Artificial Intelligence (127 citations). Anna Rotili has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Enrico Cassano, Filippo Pesapane, Silvia Penco, Luca Nicosia, Anna Carla Bozzini, Sara Raimondi, Giovanni Simonetti, E Fanucci, Valeria Fiaschetti and Roberto Floris. Their work appears in journals such as Cancers, British Journal of Radiology, La radiologia medica, Breast Cancer Research and Treatment and Medical Oncology.
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.