Benedetta Bracci
Impact in
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- Ultrasound in Clinical Applications
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 2
- COVID-19 diagnosis using AI 2
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- COVID-19 Clinical Research Studies 4
- Co-authors
- Michela Polici (14 shared papers)Damiano Caruso (15 shared papers)Marta Zerunian (15 shared papers)Andrea Laghi (15 shared papers)Tiziano Polidori (13 shared papers)Gisella Guido (13 shared papers)Francesco Pucciarelli (12 shared papers)Carlotta Rucci (9 shared papers)
- Journals
- La radiologia medica (4 papers)Cancers (2 papers)International Journal of Molecular Sciences (2 papers)Insights into Imaging (1 paper)Journal of Computer Assisted Tomography (1 paper)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Benedetta Bracci
19 papers receiving 784 citations
Benedetta Bracci's Hit Papers
Peers
Comparison fields: 5 of 66
- Critical Care and Intensive Care Medicine 72
- Radiology, Nuclear Medicine and Imaging 349
- Infectious Diseases 265
- Health Informatics 13
- Oncology 107
Countries citing papers authored by Benedetta Bracci
This map shows the geographic impact of Benedetta Bracci'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 Benedetta Bracci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benedetta Bracci more than expected).
Fields of papers citing papers by Benedetta Bracci
This network shows the impact of papers produced by Benedetta Bracci. 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 Benedetta Bracci. The network helps show where Benedetta Bracci may publish in the future.
Co-authors
The 25 scholars most cited alongside Benedetta Bracci, 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 | Chest CT Features of COVID-19 in Rome, Italy Hit paper breakdown → | 2020 | 426 |
| 2 | 2016 | 68 | |
| 3 | 2021 | 42 | |
| 4 | 2020 | 40 | |
| 5 | 2020 | 35 | |
| 6 | 2023 | 33 | |
| 7 | 2021 | 31 | |
| 8 | 2021 | 27 | |
| 9 | 2016 | 21 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2022 | 1 |
About Benedetta Bracci
Benedetta Bracci is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Surgery, Oncology and Biomedical Engineering, having authored 19 papers that have together received 805 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (4 papers), Advanced X-ray and CT Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers), Liver Disease Diagnosis and Treatment (2 papers), COVID-19 diagnosis using AI (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (72 citations), Radiology, Nuclear Medicine and Imaging (349 citations), Infectious Diseases (265 citations), Health Informatics (13 citations) and Oncology (107 citations). Benedetta Bracci has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Michela Polici, Damiano Caruso, Marta Zerunian, Andrea Laghi, Tiziano Polidori, Gisella Guido, Francesco Pucciarelli, Carlotta Rucci, Chiara De Dominicis and Donato Rigante. Their work appears in journals such as La radiologia medica, Cancers, International Journal of Molecular Sciences, Insights into Imaging and Journal of Computer Assisted Tomography.
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.