R. Pearson
Impact in
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 4
- MRI in cancer diagnosis 3
- Radiation 11
- Advanced Radiotherapy Techniques 11
- Co-authors
- Flavio Barchetti (1 shared paper)Gianluca Giannarini (1 shared paper)Valeria Panebianco (1 shared paper)James W.F. Catto (1 shared paper)Robbert J. de Haas (1 shared paper)J. Wyatt (9 shared papers)H. McCallum (8 shared papers)Ross J. Maxwell (4 shared papers)
- Journals
- Clinical Oncology (3 papers)British Journal of Radiology (3 papers)Physics and Imaging in Radiation Oncology (2 papers)EJNMMI Physics (1 paper)Radiotherapy and Oncology (1 paper)
- Partner nations
- United KingdomSwitzerlandNetherlands
In The Last Decade
R. Pearson
20 papers receiving 176 citations
Peers
Comparison fields: 5 of 41
- Radiation 40
- Urology 19
- Radiology, Nuclear Medicine and Imaging 66
- Otorhinolaryngology 12
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by R. Pearson
This map shows the geographic impact of R. Pearson'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 R. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Pearson more than expected).
Fields of papers citing papers by R. Pearson
This network shows the impact of papers produced by R. Pearson. 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 R. Pearson. The network helps show where R. Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Pearson, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 61 | |
| 2 | 1977 | 20 | |
| 3 | 2015 | 18 | |
| 4 | 2018 | 13 | |
| 5 | 2020 | 13 | |
| 6 | 2023 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 8 | |
| 9 | 1977 | 7 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2021 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2025 | 1 |
About R. Pearson
R. Pearson is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Biomedical Engineering and Surgery, having authored 24 papers that have together received 187 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (11 papers), Advanced X-ray and CT Imaging (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (3 papers), MRI in cancer diagnosis (3 papers) and Image Processing and 3D Reconstruction (2 papers). The work is most often cited by research in Radiation (40 citations), Urology (19 citations), Radiology, Nuclear Medicine and Imaging (66 citations), Otorhinolaryngology (12 citations) and Pulmonary and Respiratory Medicine (62 citations). R. Pearson has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include Flavio Barchetti, Gianluca Giannarini, Valeria Panebianco, James W.F. Catto, Robbert J. de Haas, J. Wyatt, H. McCallum, Ross J. Maxwell, J. Frew and Francesco Mauri. Their work appears in journals such as Clinical Oncology, British Journal of Radiology, Physics and Imaging in Radiation Oncology, EJNMMI Physics and Radiotherapy and 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.