Matthew Lee
- Cognitive Neuroscience top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Psychiatry and Mental health top 5%
- Artificial Intelligence top 10%
- Neurology top 10%
- Co-authors
- Sarah ParisotEnzo FerranteDaniel RueckertSofia Ira KtenaBen GlockerRicardo GuerreroMartin RajchlBarry H. Schneider
- Topics
- Glioma Diagnosis and Treatment (6 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)MRI in cancer diagnosis (3 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Matthew Lee
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cognitive Neuroscience 520
- Radiology, Nuclear Medicine and Imaging 221
- Psychiatry and Mental health 201
- Artificial Intelligence 196
- Neurology 110
Countries citing papers authored by Matthew Lee
This map shows the geographic impact of Matthew Lee'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 Matthew Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lee more than expected).
Fields of papers citing papers by Matthew Lee
This network shows the impact of papers produced by Matthew Lee. 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 Matthew Lee. The network helps show where Matthew Lee may publish in the future.
Co-authorship network of co-authors of Matthew Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Lee. A scholar is included among the top collaborators of Matthew Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Lee. Matthew Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 54 | |
| 12 | 13 | |
| 13 | 37 | |
| 14 | Spectral Graph Convolutions on Population Graphs for Disease Prediction | 2 |
| 15 | 252 | |
| 16 | 46 | |
| 17 | 6 | |
| 18 | Video Tracking System for Unmanned Aerial Vehicle | 1 |
| 19 | 18 | |
| 20 | 6 |
About Matthew Lee
Matthew Lee is a scholar working on Health Informatics, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Cognitive Neuroscience (520 citations), Neurology (110 citations) and Psychiatry and Mental health (201 citations). Matthew Lee has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sarah Parisot, Enzo Ferrante, Daniel Rueckert, Sofia Ira Ktena, Ben Glocker, Ricardo Guerrero, Martin Rajchl, Barry H. Schneider, Sébastien Normand and Marie-France Maisonneuve. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.