Simone Mazzetti
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Health Informatics top 5%
Papers in ⓘ
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- Radiomics and Machine Learning in Medical Imaging 28
- MRI in cancer diagnosis 11
- Advanced MRI Techniques and Applications 5
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- Prostate Cancer Diagnosis and Treatment 18
- Prostate Cancer Treatment and Research 9
- Co-authors
- Daniele Regge (45 shared papers)Valentina Giannini (39 shared papers)Filippo Russo (21 shared papers)M. Stasi (14 shared papers)Enrico Bollito (8 shared papers)F. Porpiglia (8 shared papers)A. Vignati (8 shared papers)Andrea Mortara (10 shared papers)
In The Last Decade
Simone Mazzetti
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 658
- Health Informatics 30
- Pulmonary and Respiratory Medicine 546
- Cardiology and Cardiovascular Medicine 226
- Hepatology 64
Countries citing papers authored by Simone Mazzetti
This map shows the geographic impact of Simone Mazzetti'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 Simone Mazzetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Mazzetti more than expected).
Fields of papers citing papers by Simone Mazzetti
This network shows the impact of papers produced by Simone Mazzetti. 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 Simone Mazzetti. The network helps show where Simone Mazzetti may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Mazzetti, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 147 | |
| 2 | 2019 | 109 | |
| 3 | 2015 | 108 | |
| 4 | 2015 | 61 | |
| 5 | 2017 | 55 | |
| 6 | 2015 | 50 | |
| 7 | 2020 | 36 | |
| 8 | 2020 | 32 | |
| 9 | 2020 | 31 | |
| 10 | 2017 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2013 | 24 | |
| 13 | 2022 | 24 | |
| 14 | 2022 | 24 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 23 | |
| 17 | 2020 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2019 | 15 |
About Simone Mazzetti
Simone Mazzetti is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (28 papers), Prostate Cancer Diagnosis and Treatment (18 papers), Advanced X-ray and CT Imaging (12 papers), MRI in cancer diagnosis (11 papers), Prostate Cancer Treatment and Research (9 papers), AI in cancer detection (7 papers), Advanced MRI Techniques and Applications (5 papers) and Colorectal Cancer Surgical Treatments (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (658 citations), Health Informatics (30 citations), Pulmonary and Respiratory Medicine (546 citations), Cardiology and Cardiovascular Medicine (226 citations) and Hepatology (64 citations). Simone Mazzetti has collaborated with scholars based in Italy, Belarus and Greece. Frequent co-authors include Daniele Regge, Valentina Giannini, Filippo Russo, M. Stasi, Enrico Bollito, F. Porpiglia, A. Vignati, Andrea Mortara, Arianna Defeudis and Marco Lanfranconi. Their work appears in journals such as Physics in Medicine and Biology, European Radiology, European Radiology Experimental, Cancers and La radiologia medica.
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.