Mark W. Woolrich

72.9k total citations · 17 hit papers
234 papers, 49.9k citations indexed

About

Mark W. Woolrich is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark W. Woolrich has authored 234 papers receiving a total of 49.9k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Cognitive Neuroscience, 81 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark W. Woolrich's work include Functional Brain Connectivity Studies (151 papers), Neural dynamics and brain function (126 papers) and EEG and Brain-Computer Interfaces (64 papers). Mark W. Woolrich is often cited by papers focused on Functional Brain Connectivity Studies (151 papers), Neural dynamics and brain function (126 papers) and EEG and Brain-Computer Interfaces (64 papers). Mark W. Woolrich collaborates with scholars based in United Kingdom, United States and Denmark. Mark W. Woolrich's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark W. Woolrich

224 papers receiving 49.5k citations

Hit Papers

Advances in functional and structural MR image analysis a... 2001 2026 2009 2017 2004 2011 2006 2003 2001 2.5k 5.0k 7.5k 10.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advances in functional and structural MR image analysis and implementation as FSL
    2004 10.8k citations Stephen M. Smith, Mark Jenkinson et al. NeuroImage profile →
  2. FSL
    2011 8.0k citations Mark Jenkinson, Christian F. Beckmann et al. NeuroImage profile →
  3. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
    2006 2.7k citations Timothy E.J. Behrens, Heidi Johansen‐Berg et al. NeuroImage profile →
  4. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
    2003 2.4k citations Timothy E.J. Behrens, Mark W. Woolrich et al. Magnetic Resonance in Medicine profile →
  5. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
    2001 2.3k citations Mark W. Woolrich, Stephen M. Smith et al. NeuroImage profile →
  6. Bayesian analysis of neuroimaging data in FSL
    2008 1.9k citations Mark W. Woolrich, Saâd Jbabdi et al. NeuroImage profile →
  7. Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
    2003 1.9k citations Timothy E.J. Behrens, Heidi Johansen‐Berg et al. Nature Neuroscience profile →
  8. Network modelling methods for FMRI
    2010 1.4k citations Stephen M. Smith, Karla L. Miller et al. NeuroImage profile →
  9. Multilevel linear modelling for FMRI group analysis using Bayesian inference
    2004 1.4k citations Mark W. Woolrich, Timothy E.J. Behrens et al. NeuroImage profile →
  10. Learning the value of information in an uncertain world
    2007 1.4k citations Timothy E.J. Behrens, Mark W. Woolrich et al. Nature Neuroscience profile →
  11. Functional connectomics from resting-state fMRI
    2013 683 citations Stephen M. Smith, Diego Vidaurre et al. Trends in Cognitive Sciences profile →
  12. Investigating the electrophysiological basis of resting state networks using magnetoencephalography
    2011 680 citations Matthew J. Brookes, Mark W. Woolrich et al. profile →
  13. Associative learning of social value
    2008 674 citations Timothy E.J. Behrens, Laurence T. Hunt et al. profile →
  14. Tools of the trade: psychophysiological interactions and functional connectivity
    2012 592 citations Mark W. Woolrich, Timothy E.J. Behrens et al. profile →
  15. Temporally-independent functional modes of spontaneous brain activity
    2012 576 citations Stephen M. Smith, Karla L. Miller et al. profile →
  16. Brain network dynamics are hierarchically organized in time
    2017 506 citations Diego Vidaurre, Stephen M. Smith et al. profile →
  17. How reliable are MEG resting-state connectivity metrics?
    2016 302 citations Mark W. Woolrich, Matthew J. Brookes et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark W. Woolrich United Kingdom 68 32.1k 22.0k 4.8k 4.2k 4.2k 234 49.9k
Thomas E. Nichols United Kingdom 78 30.1k 0.9× 16.4k 0.7× 7.3k 1.5× 5.9k 1.4× 4.4k 1.1× 335 49.7k
Christian F. Beckmann United Kingdom 81 48.2k 1.5× 25.7k 1.2× 7.8k 1.6× 7.2k 1.7× 4.7k 1.1× 268 66.3k
Heidi Johansen‐Berg United Kingdom 97 27.4k 0.9× 26.1k 1.2× 6.4k 1.3× 3.0k 0.7× 6.3k 1.5× 259 52.3k
Timothy E.J. Behrens United Kingdom 103 43.4k 1.4× 32.2k 1.5× 7.2k 1.5× 5.7k 1.4× 6.6k 1.6× 193 70.5k
Yong He China 95 31.5k 1.0× 15.9k 0.7× 5.9k 1.2× 5.8k 1.4× 2.1k 0.5× 385 40.0k
Bruce R. Rosen United States 121 28.9k 0.9× 26.1k 1.2× 7.1k 1.5× 3.6k 0.9× 5.7k 1.4× 494 65.3k
Olaf Sporns United States 99 54.1k 1.7× 20.8k 0.9× 4.4k 0.9× 8.1k 1.9× 2.2k 0.5× 301 66.3k
John Ashburner United Kingdom 83 33.8k 1.1× 20.3k 0.9× 11.7k 2.4× 5.1k 1.2× 5.9k 1.4× 195 60.8k
Vince D. Calhoun United States 113 49.1k 1.5× 19.9k 0.9× 8.8k 1.8× 8.8k 2.1× 2.0k 0.5× 1.5k 63.4k
John C. Gore United States 115 25.5k 0.8× 21.0k 1.0× 4.5k 0.9× 5.3k 1.3× 1.6k 0.4× 839 57.6k

Countries citing papers authored by Mark W. Woolrich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Mark W. Woolrich

This figure shows the co-authorship network connecting the top 25 collaborators of Mark W. Woolrich. A scholar is included among the top collaborators of Mark W. Woolrich 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 Mark W. Woolrich. Mark W. Woolrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gohil, Chetan, et al.. (2025). Evidence for Transient, Uncoupled Power and Functional Connectivity Dynamics. Human Brain Mapping. 46(4). e70179–e70179.
2.
Gohil, Chetan, et al.. (2025). osl-ephys: a Python toolbox for the analysis of electrophysiology data. Frontiers in Neuroscience. 19. 1522675–1522675. 4 indexed citations
3.
Kohl, Oliver, Chetan Gohil, Nahid Zokaei, et al.. (2025). Changes in sensorimotor network dynamics in resting-state recordings in Parkinson’s disease. Brain Communications. 7(4). fcaf282–fcaf282. 1 indexed citations
4.
Gohil, Chetan, et al.. (2025). Large-scale cortical functional networks are organized in structured cycles. Nature Neuroscience. 28(10). 2118–2128.
5.
Guidotti, Roberto, Alessio Basti, Mark W. Woolrich, et al.. (2025). Investigating brain network dynamics in state-dependent stimulation: A concurrent electroencephalography and transcranial magnetic stimulation study using hidden Markov models. Brain stimulation. 18(3). 800–809. 1 indexed citations
6.
Gohil, Chetan, Oliver Kohl, Ōiwi Parker Jones, et al.. (2024). Dynamic network analysis of electrophysiological task data. Imaging Neuroscience. 2. 4 indexed citations
7.
Gohil, Chetan, et al.. (2024). Stacking models of brain dynamics to improve prediction of subject traits in fMRI. Imaging Neuroscience. 2. 1–22. 1 indexed citations
8.
Gohil, Chetan, et al.. (2024). osl-dynamics, a toolbox for modeling fast dynamic brain activity. eLife. 12. 4 indexed citations
9.
Fredes, Felipe, et al.. (2023). Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data. Journal of Neurophysiology. 130(2). 364–379. 8 indexed citations
10.
Gohil, Chetan, Andrew J. Quinn, Usama Pervaiz, et al.. (2022). Mixtures of large-scale dynamic functional brain network modes. NeuroImage. 263. 119595–119595. 17 indexed citations
11.
Quinn, Andrew J., et al.. (2022). The relationship between frequency content and representational dynamics in the decoding of neurophysiological data. NeuroImage. 260. 119462–119462. 5 indexed citations
12.
Quinn, Andrew J., Vítor Lopes‐dos‐Santos, Norden E. Huang, et al.. (2021). Within-cycle instantaneous frequency profiles report oscillatory waveform dynamics. Journal of Neurophysiology. 126(4). 1190–1208. 28 indexed citations
13.
Quinn, Andrew J., et al.. (2021). Automatic decomposition of electrophysiological data into distinct nonsinusoidal oscillatory modes. Journal of Neurophysiology. 126(5). 1670–1684. 16 indexed citations
14.
Liu, Yunzhe, Raymond J. Dolan, Héctor Penagos, et al.. (2021). Temporally delayed linear modelling (TDLM) measures replay in both animals and humans. eLife. 10. 25 indexed citations
15.
Bijsterbosch, Janine, Samuel J. Harrison, Saâd Jbabdi, et al.. (2020). Challenges and future directions for representations of functional brain organization. Nature Neuroscience. 23(12). 1484–1495. 96 indexed citations
16.
Abeysuriya, Romesh, Stamatios N. Sotiropoulos, Saâd Jbabdi, et al.. (2018). A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks. PLoS Computational Biology. 14(2). e1006007–e1006007. 65 indexed citations
17.
Bilderbeck, Amy C., Gordon D. A. Brown, Mark W. Woolrich, et al.. (2014). Serotonin and Social Norms. Psychological Science. 25(7). 1303–1313. 18 indexed citations
18.
Smith, Stephen M., Diego Vidaurre, Christian F. Beckmann, et al.. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences. 17(12). 666–682. 683 indexed citations breakdown →
19.
Chappell, Michael A., Bradley J. MacIntosh, Manus J. Donahue, et al.. (2010). Separation of macrovascular signal in multi‐inversion time arterial spin labelling MRI. Magnetic Resonance in Medicine. 63(5). 1357–1365. 98 indexed citations
20.
Smith, Stephen M., Mark Jenkinson, Mark W. Woolrich, et al.. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage. 23. S208–S219. 10777 indexed citations breakdown →

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.

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