Peter Pinto
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
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- Prostate Cancer Diagnosis and Treatment
Papers in
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- Prostate Cancer Diagnosis and Treatment 11
- Prostate Cancer Treatment and Research 1
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- AI in cancer detection 4
- Co-authors
- Peter L. Choyke (19 shared papers)Bradford J. Wood (17 shared papers)Sheng Xu (8 shared papers)Barış Türkbey (16 shared papers)Yue Chen (2 shared papers)Zion Tsz Ho Tse (2 shared papers)Reza Seifabadi (3 shared papers)Shekoofeh Azizi (4 shared papers)
- Journals
- Academic Radiology (3 papers)International Journal of Computer Assisted Radiology and Surgery (3 papers)IEEE Transactions on Biomedical Engineering (1 paper)Dentomaxillofacial Radiology (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Peter Pinto
20 papers receiving 223 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 76
- Pulmonary and Respiratory Medicine 70
- Health Informatics 3
- Biomedical Engineering 91
- Radiation 16
Countries citing papers authored by Peter Pinto
This map shows the geographic impact of Peter Pinto'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 Peter Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pinto more than expected).
Fields of papers citing papers by Peter Pinto
This network shows the impact of papers produced by Peter Pinto. 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 Peter Pinto. The network helps show where Peter Pinto may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Pinto, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 50 | |
| 2 | 2016 | 39 | |
| 3 | 2017 | 35 | |
| 4 | 2017 | 24 | |
| 5 | 2024 | 16 | |
| 6 | 2000 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2014 | 9 | |
| 9 | 2024 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2012 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2013 | 1 |
About Peter Pinto
Peter Pinto is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 232 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers), Prostate Cancer Treatment and Research (1 paper), Soft Robotics and Applications (1 paper), MRI in cancer diagnosis (1 paper), Advanced Radiotherapy Techniques (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (76 citations), Pulmonary and Respiratory Medicine (70 citations), Health Informatics (3 citations), Biomedical Engineering (91 citations) and Radiation (16 citations). Peter Pinto has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Peter L. Choyke, Bradford J. Wood, Sheng Xu, Barış Türkbey, Yue Chen, Zion Tsz Ho Tse, Reza Seifabadi, Shekoofeh Azizi, Purang Abolmaesumi and Jin Tae Kwak. Their work appears in journals such as Academic Radiology, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Biomedical Engineering, Dentomaxillofacial Radiology and Oncotarget.
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.