Simon Graham
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Health Informatics top 5%
Papers in
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- AI in cancer detection 26
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- Radiomics and Machine Learning in Medical Imaging 15
- Co-authors
- Nasir Rajpoot (27 shared papers)David Snead (11 shared papers)Shan E Ahmed Raza (14 shared papers)Fayyaz Minhas (14 shared papers)Qi Dou (2 shared papers)Hao Chen (2 shared papers)Pheng‐Ann Heng (2 shared papers)D. B. A. Epstein (3 shared papers)
- Journals
- Medical Image Analysis (6 papers)Modern Pathology (2 papers)npj Precision Oncology (1 paper)IEEE Transactions on Medical Imaging (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- United KingdomUnited StatesEgypt
In The Last Decade
Simon Graham
34 papers receiving 1.2k citations
Simon Graham's Hit Papers
Peers
Comparison fields: 5 of 85
- Radiology, Nuclear Medicine and Imaging 618
- Health Informatics 40
- Biophysics 153
- Artificial Intelligence 894
- Computer Vision and Pattern Recognition 452
Countries citing papers authored by Simon Graham
This map shows the geographic impact of Simon Graham'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 Simon Graham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Graham more than expected).
Fields of papers citing papers by Simon Graham
This network shows the impact of papers produced by Simon Graham. 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 Simon Graham. The network helps show where Simon Graham may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Graham, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 244 | |
| 2 | 2018 | 196 | |
| 3 | Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study Hit paper breakdown → | 2021 | 170 |
| 4 | 2019 | 97 | |
| 5 | 2022 | 88 | |
| 6 | 2022 | 66 | |
| 7 | 2019 | 50 | |
| 8 | 2018 | 50 | |
| 9 | 2020 | 41 | |
| 10 | 2023 | 28 | |
| 11 | 2023 | 27 | |
| 12 | 2024 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2018 | 20 | |
| 16 | 2019 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2023 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2021 | 10 |
About Simon Graham
Simon Graham is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Oncology and Biophysics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (26 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Digital Imaging for Blood Diseases (9 papers), Cell Image Analysis Techniques (6 papers), Cancer Cells and Metastasis (4 papers), Colorectal Cancer Screening and Detection (4 papers), Cancer Genomics and Diagnostics (2 papers) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (618 citations), Health Informatics (40 citations), Biophysics (153 citations), Artificial Intelligence (894 citations) and Computer Vision and Pattern Recognition (452 citations). Simon Graham has collaborated with scholars based in United Kingdom, United States and Egypt. Frequent co-authors include Nasir Rajpoot, David Snead, Shan E Ahmed Raza, Fayyaz Minhas, Qi Dou, Hao Chen, Pheng‐Ann Heng, D. B. A. Epstein, Mohsin Bilal and Muhammad Shaban. Their work appears in journals such as Medical Image Analysis, Modern Pathology, npj Precision Oncology, IEEE Transactions on Medical Imaging and The Journal of 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.