Peter Pinto
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
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- Advanced Radiotherapy Techniques
Papers in
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- Prostate Cancer Diagnosis and Treatment 12
- Prostate Cancer Treatment and Research 4
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- Radiomics and Machine Learning in Medical Imaging 5
- MRI in cancer diagnosis 3
- Co-authors
- Peter L. Choyke (15 shared papers)Bradford J. Wood (14 shared papers)Sheng Xu (6 shared papers)Barış Türkbey (13 shared papers)Allison Squires (2 shared papers)Reza Seifabadi (3 shared papers)Zion Tsz Ho Tse (2 shared papers)Yue Chen (2 shared papers)
- Journals
- International Journal of Computer Assisted Radiology and Surgery (3 papers)Academic Radiology (2 papers)Journal of Personalized Medicine (1 paper)Abdominal Radiology (1 paper)Cancers (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Peter Pinto
17 papers receiving 187 citations
Peers
Comparison fields: 5 of 51
- Radiology, Nuclear Medicine and Imaging 71
- Radiation 20
- Health Informatics 3
- Biomedical Engineering 86
- Pulmonary and Respiratory Medicine 57
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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 47 | |
| 2 | 2017 | 35 | |
| 3 | 2016 | 34 | |
| 4 | 2017 | 23 | |
| 5 | 2024 | 12 | |
| 6 | 2000 | 11 | |
| 7 | 2018 | 9 | |
| 8 | 2024 | 5 | |
| 9 | 2012 | 5 | |
| 10 | 2016 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2024 | 0 |
About Peter Pinto
Peter Pinto is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery, having authored 18 papers that have together received 192 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (12 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Prostate Cancer Treatment and Research (4 papers), Advanced Radiotherapy Techniques (3 papers), MRI in cancer diagnosis (3 papers), Advanced Neural Network Applications (3 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (71 citations), Radiation (20 citations), Health Informatics (3 citations), Biomedical Engineering (86 citations) and Pulmonary and Respiratory Medicine (57 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, Allison Squires, Reza Seifabadi, Zion Tsz Ho Tse, Yue Chen, Shekoofeh Azizi and Purang Abolmaesumi. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Academic Radiology, Journal of Personalized Medicine, Abdominal Radiology and Cancers.
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.