Marc Modat
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- Advanced Neuroimaging Techniques and Applications 38
- Medical Imaging Techniques and Applications 33
- Advanced MRI Techniques and Applications 25
- Radiomics and Machine Learning in Medical Imaging 14
- Psychiatry and Mental health top 1%
- Dementia and Cognitive Impairment Research 21
- Neurology top 1%
- Radiation top 1%
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- Medical Image Segmentation Techniques 45
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- Alzheimer's disease research and treatments 25
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- Functional Brain Connectivity Studies 16
- Co-authors
- Sébastien OurselinNick C. FoxM. Jorge CardosoGerard R. RidgwayJosephine BarnesDavid M. CashManja LehmannDavid J. Hawkes
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Marc Modat
173 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Radiology, Nuclear Medicine and Imaging 3.4k
- Psychiatry and Mental health 1.3k
- Neurology 677
- Radiation 681
- Computer Vision and Pattern Recognition 1.5k
Countries citing papers authored by Marc Modat
This map shows the geographic impact of Marc Modat'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 Marc Modat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Modat more than expected).
Fields of papers citing papers by Marc Modat
This network shows the impact of papers produced by Marc Modat. 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 Marc Modat. The network helps show where Marc Modat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Modat, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 20 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 10 | |
| 9 | The impact of unscheduled gaps and iso-centre sequencing on the biologically effective dose in Gamma Knife radiosurgery. | 2021 | 6 |
| 10 | 2021 | 18 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 4 | |
| 14 | NiftyNet: a deep-learning platform for medical imagingbreakdown → | 2018 | 363 |
| 15 | 2018 | 250 | |
| 16 | 2017 | 28 | |
| 17 | 2015 | 18 | |
| 18 | Robust and fully-automated atrophy measures for multiple sclerosis disease. | 2014 | 1 |
| 19 | 2012 | 71 | |
| 20 | Adaptive Neonate Brain Segmentation | 2011 | 10 |
About Marc Modat
Marc Modat is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Health Informatics, having authored 178 papers that have together received 7.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (45 papers), Advanced Neuroimaging Techniques and Applications (38 papers), Medical Imaging Techniques and Applications (33 papers), Alzheimer's disease research and treatments (25 papers), Advanced MRI Techniques and Applications (25 papers), Dementia and Cognitive Impairment Research (21 papers), Functional Brain Connectivity Studies (16 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.4k citations), Psychiatry and Mental health (1.3k citations) and Neurology (677 citations). Marc Modat has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Sébastien Ourselin, Nick C. Fox, M. Jorge Cardoso, Gerard R. Ridgway, Josephine Barnes, David M. Cash, Manja Lehmann, David J. Hawkes, Zeike A. Taylor and Jonathan D. Rohrer. Their work appears in journals such as NeuroImage, Alzheimer s & Dementia, PLoS ONE, Medical Image Analysis and Scientific Reports.
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.