Mark W. Woolrich
Impact in
- Cognitive Neuroscience top 0.01%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Radiology, Nuclear Medicine and Imaging top 0.01%
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Functional Brain Connectivity Studies 148
- Neural dynamics and brain function 122
- EEG and Brain-Computer Interfaces 60
- Neural and Behavioral Psychology Studies 17
-
- Advanced MRI Techniques and Applications 58
- Advanced Neuroimaging Techniques and Applications 47
- Co-authors
- Stephen M. Smith (53 shared papers)Timothy E.J. Behrens (28 shared papers)Mark Jenkinson (13 shared papers)Christian F. Beckmann (18 shared papers)Heidi Johansen‐Berg (11 shared papers)Matthew F. S. Rushworth (6 shared papers)Paul M. Matthews (8 shared papers)Saâd Jbabdi (12 shared papers)
- Journals
- NeuroImage (77 papers)Human Brain Mapping (21 papers)eLife (13 papers)Magnetic Resonance in Medicine (9 papers)Frontiers in Neuroscience (6 papers)
- Partner nations
- United KingdomUnited StatesDenmark
In The Last Decade
Mark W. Woolrich
228 papers receiving 50.4k citations
Mark W. Woolrich's Hit Papers
Peers
Comparison fields: 5 of 207
- Cognitive Neuroscience 29.5k
- Radiology, Nuclear Medicine and Imaging 18.6k
- Computational Mathematics 318
- Neurology 2.5k
- General Decision Sciences 594
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-authors
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
Showing the 20 most-cited of 239 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in functional and structural MR image analysis and implementation as FSL Hit paper breakdown → | 2004 | 10920 |
| 2 | FSL Hit paper breakdown → | 2011 | 8206 |
| 3 | Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? Hit paper breakdown → | 2006 | 2718 |
| 4 | Characterization and propagation of uncertainty in diffusion‐weighted MR imaging Hit paper breakdown → | 2003 | 2463 |
| 5 | Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data Hit paper breakdown → | 2001 | 2271 |
| 6 | Bayesian analysis of neuroimaging data in FSL Hit paper breakdown → | 2008 | 1944 |
| 7 | Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging Hit paper breakdown → | 2003 | 1876 |
| 8 | Network modelling methods for FMRI Hit paper breakdown → | 2010 | 1383 |
| 9 | Multilevel linear modelling for FMRI group analysis using Bayesian inference Hit paper breakdown → | 2004 | 1381 |
| 10 | Learning the value of information in an uncertain world Hit paper breakdown → | 2007 | 1379 |
| 11 | Functional connectomics from resting-state fMRI Hit paper breakdown → | 2013 | 697 |
| 12 | Investigating the electrophysiological basis of resting state networks using magnetoencephalography Hit paper breakdown → | 2011 | 690 |
| 13 | Associative learning of social value Hit paper breakdown → | 2008 | 683 |
| 14 | Tools of the trade: psychophysiological interactions and functional connectivity Hit paper breakdown → | 2012 | 597 |
| 15 | Temporally-independent functional modes of spontaneous brain activity Hit paper breakdown → | 2012 | 579 |
| 16 | Brain network dynamics are hierarchically organized in time Hit paper breakdown → | 2017 | 529 |
| 17 | 2009 | 493 | |
| 18 | 2008 | 416 | |
| 19 | 2014 | 389 | |
| 20 | 2008 | 334 |
About Mark W. Woolrich
Mark W. Woolrich is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Signal Processing and Neurology, having authored 239 papers that have together received 50.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (148 papers), Neural dynamics and brain function (122 papers), EEG and Brain-Computer Interfaces (60 papers), Advanced MRI Techniques and Applications (58 papers), Advanced Neuroimaging Techniques and Applications (47 papers), Neural and Behavioral Psychology Studies (17 papers), Blind Source Separation Techniques (12 papers) and Medical Image Segmentation Techniques (9 papers). The work is most often cited by research in Cognitive Neuroscience (29.5k citations), Radiology, Nuclear Medicine and Imaging (18.6k citations), Computational Mathematics (318 citations), Neurology (2.5k citations) and General Decision Sciences (594 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.