Simon Graham
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- AI in cancer detection 20
-
- Radiomics and Machine Learning in Medical Imaging 13
- Co-authors
- Nasir Rajpoot (21 shared papers)David Snead (11 shared papers)Shan E Ahmed Raza (13 shared papers)Fayyaz Minhas (13 shared papers)Pheng‐Ann Heng (2 shared papers)Qi Dou (2 shared papers)Hao Chen (2 shared papers)Mohsin Bilal (9 shared papers)
- Journals
- Medical Image Analysis (5 papers)Modern Pathology (2 papers)British Journal of Cancer (1 paper)The Journal of Pathology (1 paper)BMJ Open Gastroenterology (1 paper)
- Partner nations
- United KingdomEgyptUnited States
In The Last Decade
Simon Graham
27 papers receiving 1.1k citations
Simon Graham's Hit Papers
Peers
Comparison fields: 5 of 81
- Health Informatics 36
- Radiology, Nuclear Medicine and Imaging 543
- Biophysics 142
- Artificial Intelligence 769
- Computer Vision and Pattern Recognition 386
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2018 | 177 | |
| 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 | 163 |
| 4 | 2019 | 89 | |
| 5 | 2022 | 81 | |
| 6 | 2022 | 61 | |
| 7 | 2019 | 48 | |
| 8 | 2018 | 47 | |
| 9 | 2020 | 37 | |
| 10 | 2023 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2024 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2018 | 21 | |
| 15 | 2023 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 7 | |
| 19 | XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. | 2018 | 6 |
| 20 | 2000 | 5 |
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 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (20 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Digital Imaging for Blood Diseases (5 papers), Cancer Cells and Metastasis (4 papers), Cell Image Analysis Techniques (4 papers), Cancer Genomics and Diagnostics (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Electric Motor Design and Analysis (1 paper). The work is most often cited by research in Health Informatics (36 citations), Radiology, Nuclear Medicine and Imaging (543 citations), Biophysics (142 citations), Artificial Intelligence (769 citations) and Computer Vision and Pattern Recognition (386 citations). Simon Graham has collaborated with scholars based in United Kingdom, Egypt and United States. Frequent co-authors include Nasir Rajpoot, David Snead, Shan E Ahmed Raza, Fayyaz Minhas, Pheng‐Ann Heng, Qi Dou, Hao Chen, Mohsin Bilal, Yee Wah Tsang and Jevgenij Gamper. Their work appears in journals such as Medical Image Analysis, Modern Pathology, British Journal of Cancer, The Journal of Pathology and BMJ Open Gastroenterology.
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.