Robin Elliott
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Health Informatics top 10%
Papers in
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- Prostate Cancer Diagnosis and Treatment 11
- Prostate Cancer Treatment and Research 10
- Sarcoma Diagnosis and Treatment 3
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- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Anant Madabhushi (16 shared papers)Michael D. Feldman (10 shared papers)Natalie Shih (8 shared papers)Patrick Leo (11 shared papers)Matthew P. Anderson (1 shared paper)Stephen Smith (1 shared paper)George Lee (2 shared papers)Charles L. Clark (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)European Radiology (2 papers)Archives of Pathology & Laboratory Medicine (2 papers)The Journal of Urology (2 papers)Cardiovascular Pathology (1 paper)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Robin Elliott
28 papers receiving 446 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 225
- Health Informatics 13
- Pulmonary and Respiratory Medicine 185
- Biological Psychiatry 12
- Biophysics 23
Countries citing papers authored by Robin Elliott
This map shows the geographic impact of Robin Elliott'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 Robin Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Elliott more than expected).
Fields of papers citing papers by Robin Elliott
This network shows the impact of papers produced by Robin Elliott. 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 Robin Elliott. The network helps show where Robin Elliott may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Elliott, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 55 | |
| 2 | 2018 | 47 | |
| 3 | 2015 | 43 | |
| 4 | 2020 | 42 | |
| 5 | 1991 | 36 | |
| 6 | 2018 | 33 | |
| 7 | 2020 | 32 | |
| 8 | 2012 | 29 | |
| 9 | 2018 | 25 | |
| 10 | 2020 | 21 | |
| 11 | 2014 | 15 | |
| 12 | 2020 | 12 | |
| 13 | 2014 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2016 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2001 | 3 | |
| 20 | 2018 | 3 |
About Robin Elliott
Robin Elliott is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Cancer Research, having authored 36 papers that have together received 458 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (11 papers), Prostate Cancer Treatment and Research (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer, Lipids, and Metabolism (3 papers), AI in cancer detection (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Urologic and reproductive health conditions (3 papers) and Orthopedic Infections and Treatments (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (225 citations), Health Informatics (13 citations), Pulmonary and Respiratory Medicine (185 citations), Biological Psychiatry (12 citations) and Biophysics (23 citations). Robin Elliott has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Anant Madabhushi, Michael D. Feldman, Natalie Shih, Patrick Leo, Matthew P. Anderson, Stephen Smith, George Lee, Charles L. Clark, Pingfu Fu and Deborah H. Spector. Their work appears in journals such as Journal of Clinical Oncology, European Radiology, Archives of Pathology & Laboratory Medicine, The Journal of Urology and Cardiovascular Pathology.
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.