Simon Francis
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
Papers in
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- Medical Image Segmentation Techniques 3
- Digital Imaging for Blood Diseases 2
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- Gene expression and cancer classification 2
- Co-authors
- D. Louis Collins (4 shared papers)Douglas L. Arnold (4 shared papers)Daniel García-Lorenzo (1 shared paper)Sridar Narayanan (1 shared paper)Tal Arbel (3 shared papers)Mohak Shah (2 shared papers)Yiming Xiao (2 shared papers)Nagesh K. Subbanna (1 shared paper)
- Journals
- Medical Image Analysis (2 papers)The Russian Review (1 paper)NeuroImage (1 paper)Asian Affairs (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- CanadaSwedenUnited Kingdom
In The Last Decade
Simon Francis
8 papers receiving 433 citations
Peers
Comparison fields: 5 of 64
- Neurology 126
- Computer Vision and Pattern Recognition 199
- Pathology and Forensic Medicine 117
- Radiology, Nuclear Medicine and Imaging 116
- Biophysics 24
Countries citing papers authored by Simon Francis
This map shows the geographic impact of Simon Francis'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 Francis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Francis more than expected).
Fields of papers citing papers by Simon Francis
This network shows the impact of papers produced by Simon Francis. 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 Francis. The network helps show where Simon Francis may publish in the future.
Co-authors
The 12 scholars most cited alongside Simon Francis, 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 | 2012 | 275 | |
| 2 | 2010 | 134 | |
| 3 | 2006 | 29 | |
| 4 | 2010 | 6 | |
| 5 | 2020 | 3 | |
| 6 | 2017 | 3 | |
| 7 | 1972 | 3 | |
| 8 | 2009 | 1 | |
| 9 | 2009 | 0 |
About Simon Francis
Simon Francis is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Artificial Intelligence, Pathology and Forensic Medicine and Strategy and Management, having authored 9 papers that have together received 454 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Gene expression and cancer classification (2 papers), Digital Imaging for Blood Diseases (2 papers), Bayesian Methods and Mixture Models (2 papers), State Capitalism and Financial Governance (1 paper), International Arbitration and Investment Law (1 paper), Natural Resources and Economic Development (1 paper) and Integrated Circuits and Semiconductor Failure Analysis (1 paper). The work is most often cited by research in Neurology (126 citations), Computer Vision and Pattern Recognition (199 citations), Pathology and Forensic Medicine (117 citations), Radiology, Nuclear Medicine and Imaging (116 citations) and Biophysics (24 citations). Simon Francis has collaborated with scholars based in Canada, Sweden and United Kingdom. Frequent co-authors include D. Louis Collins, Douglas L. Arnold, Daniel García-Lorenzo, Sridar Narayanan, Tal Arbel, Mohak Shah, Yiming Xiao, Nagesh K. Subbanna, Rola Harmouche and Phil Legg. Their work appears in journals such as Medical Image Analysis, The Russian Review, NeuroImage, Asian Affairs and Lecture notes in computer science.
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.