Mark W. Woolrich
- Cognitive Neuroscience top 0.01%
- Functional Brain Connectivity Studies 151
- Neural dynamics and brain function 126
- EEG and Brain-Computer Interfaces 64
- Neural and Behavioral Psychology Studies 18
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Advanced MRI Techniques and Applications 59
- Advanced Neuroimaging Techniques and Applications 48
- Computational Mathematics top 0.2%
- Neurology top 0.1%
- Neurological disorders and treatments 12
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- Blind Source Separation Techniques 12
- Co-authors
- Stephen M. SmithTimothy E.J. BehrensMark JenkinsonChristian F. BeckmannHeidi Johansen‐BergMatthew F. S. RushworthPaul M. MatthewsSaâd Jbabdi
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Mark W. Woolrich
224 papers receiving 49.5k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Cognitive Neuroscience 32.1k
- Radiology, Nuclear Medicine and Imaging 22.0k
- Computational Mathematics 353
- Neurology 3.0k
- Experimental and Cognitive Psychology 4.2k
Countries citing papers authored by Mark W. Woolrich
This map shows the geographic impact of Mark W. Woolrich'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 Mark W. Woolrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark W. Woolrich more than expected).
Fields of papers citing papers by Mark W. Woolrich
This network shows the impact of papers produced by Mark W. Woolrich. 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 Mark W. Woolrich. The network helps show where Mark W. Woolrich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark W. Woolrich, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 25 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 28 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 96 | |
| 18 | 2020 | 27 | |
| 19 | 2019 | 38 | |
| 20 | Functional connectomics from resting-state fMRIbreakdown → | 2013 | 683 |
About Mark W. Woolrich
Mark W. Woolrich is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Signal Processing, having authored 234 papers that have together received 49.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (151 papers), Neural dynamics and brain function (126 papers), EEG and Brain-Computer Interfaces (64 papers), Advanced MRI Techniques and Applications (59 papers), Advanced Neuroimaging Techniques and Applications (48 papers), Neural and Behavioral Psychology Studies (18 papers), Blind Source Separation Techniques (12 papers) and Neurological disorders and treatments (12 papers). The work is most often cited by research in Cognitive Neuroscience (32.1k citations), Radiology, Nuclear Medicine and Imaging (22.0k citations) and Computational Mathematics (353 citations). Mark W. Woolrich has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include Stephen M. Smith, Timothy E.J. Behrens, Mark Jenkinson, Christian F. Beckmann, Heidi Johansen‐Berg, Matthew F. S. Rushworth, Paul M. Matthews, Saâd Jbabdi, J. Michael Brady and Peter Bannister. Their work appears in journals such as NeuroImage, Human Brain Mapping, eLife, Magnetic Resonance in Medicine and Frontiers in Neuroscience.
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.