Davide Cusumano
Impact in
- Radiation top 0.5%
- Advanced Radiotherapy Techniques
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
Papers in
- Radiation 44
- Advanced Radiotherapy Techniques 43
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- Radiomics and Machine Learning in Medical Imaging 18
- Medical Imaging Techniques and Applications 15
- MRI in cancer diagnosis 5
- Co-authors
- Luca Boldrini (66 shared papers)Vincenzo Valentini (53 shared papers)Giuditta Chiloiro (41 shared papers)Lorenzo Placidi (43 shared papers)Francesco Cellini (16 shared papers)L. Azario (16 shared papers)Jacopo Lenkowicz (23 shared papers)Maria Antonietta Gambacorta (31 shared papers)
- Journals
- Physica Medica (14 papers)Radiotherapy and Oncology (13 papers)Frontiers in Oncology (9 papers)La radiologia medica (8 papers)Radiation Oncology (6 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Davide Cusumano
91 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 77
- Radiation 695
- Radiology, Nuclear Medicine and Imaging 774
- Health Informatics 26
- Oncology 320
- Obstetrics and Gynecology 85
Countries citing papers authored by Davide Cusumano
This map shows the geographic impact of Davide Cusumano'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 Davide Cusumano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Cusumano more than expected).
Fields of papers citing papers by Davide Cusumano
This network shows the impact of papers produced by Davide Cusumano. 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 Davide Cusumano. The network helps show where Davide Cusumano may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Cusumano, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 120 | |
| 2 | 2017 | 102 | |
| 3 | 2019 | 99 | |
| 4 | 2020 | 80 | |
| 5 | 2020 | 77 | |
| 6 | 2021 | 65 | |
| 7 | 2018 | 59 | |
| 8 | 2020 | 53 | |
| 9 | 2019 | 51 | |
| 10 | 2020 | 41 | |
| 11 | 2021 | 40 | |
| 12 | 2021 | 39 | |
| 13 | 2022 | 39 | |
| 14 | 2022 | 39 | |
| 15 | 2020 | 38 | |
| 16 | 2021 | 36 | |
| 17 | 2022 | 35 | |
| 18 | 2018 | 34 | |
| 19 | 2019 | 30 | |
| 20 | 2022 | 30 |
About Davide Cusumano
Davide Cusumano is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (43 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging Techniques and Applications (15 papers), Advanced X-ray and CT Imaging (10 papers), Radiation Therapy and Dosimetry (8 papers), Colorectal Cancer Surgical Treatments (8 papers), Endometrial and Cervical Cancer Treatments (6 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Radiation (695 citations), Radiology, Nuclear Medicine and Imaging (774 citations), Health Informatics (26 citations), Oncology (320 citations) and Obstetrics and Gynecology (85 citations). Davide Cusumano has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Luca Boldrini, Vincenzo Valentini, Giuditta Chiloiro, Lorenzo Placidi, Francesco Cellini, L. Azario, Jacopo Lenkowicz, Maria Antonietta Gambacorta, N. Dinapoli and Gian Carlo Mattiucci. Their work appears in journals such as Physica Medica, Radiotherapy and Oncology, Frontiers in Oncology, La radiologia medica and Radiation 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.