Matthew Webster
- Cognitive Neuroscience top 0.2%
- Functional Brain Connectivity Studies 4
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- Advanced Neuroimaging Techniques and Applications 4
- Advanced MRI Techniques and Applications 2
- Computational Mathematics top 5%
- Psychiatry and Mental health top 2%
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- Organic Electronics and Photovoltaics 3
- Organic Light-Emitting Diodes Research 3
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- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Statistical Methods in Clinical Trials 2
- Co-authors
- Thomas E. NicholsStephen M. SmithAnderson M. WinklerGerard R. RidgwaySaâd JbabdiTimothy S. CoalsonMatthew F. GlasserJunqian Xu
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Matthew Webster
11 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cognitive Neuroscience 5.5k
- Radiology, Nuclear Medicine and Imaging 3.6k
- Experimental and Cognitive Psychology 924
- Computational Mathematics 34
- Psychiatry and Mental health 714
Countries citing papers authored by Matthew Webster
This map shows the geographic impact of Matthew Webster'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 Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Webster more than expected).
Fields of papers citing papers by Matthew Webster
This network shows the impact of papers produced by Matthew Webster. 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 Webster. The network helps show where Matthew Webster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Webster, 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 | 2024 | 4 | |
| 2 | 2022 | 6 | |
| 3 | 2016 | 178 | |
| 4 | 2015 | 165 | |
| 5 | Permutation inference for the general linear modelbreakdown → | 2014 | 2549 |
| 6 | The minimal preprocessing pipelines for the Human Connectome Projectbreakdown → | 2013 | 3271 |
| 7 | Network modelling methods for FMRIbreakdown → | 2010 | 1376 |
| 8 | GLM permutation - nonparametric inference for arbitrary general linear models | 2008 | 9 |
| 9 | 2004 | 12 | |
| 10 | 2004 | 29 | |
| 11 | 2002 | 54 |
About Matthew Webster
Matthew Webster is a scholar working on Statistics and Probability, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Hardware and Architecture and Signal Processing, having authored 11 papers that have together received 7.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Organic Electronics and Photovoltaics (3 papers), Organic Light-Emitting Diodes Research (3 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Statistical Methods in Clinical Trials (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Cognitive Neuroscience (5.5k citations), Radiology, Nuclear Medicine and Imaging (3.6k citations), Experimental and Cognitive Psychology (924 citations), Computational Mathematics (34 citations) and Psychiatry and Mental health (714 citations). Matthew Webster has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Thomas E. Nichols, Stephen M. Smith, Anderson M. Winkler, Gerard R. Ridgway, Saâd Jbabdi, Timothy S. Coalson, Matthew F. Glasser, Junqian Xu, Mark Jenkinson and Joshua Wilson. Their work appears in journals such as NeuroImage, Organic Electronics, Nature Communications, Applied Physics Letters and Human Brain Mapping.
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.