Matthew Fellows
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces 11
- Neural dynamics and brain function 9
- Motor Control and Adaptation 1
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 9
- Human-Computer Interaction top 5%
- Biomedical Engineering top 5%
- Muscle activation and electromyography studies 3
- Signal Processing top 5%
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- Advanced Memory and Neural Computing 2
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- Point processes and geometric inequalities 1
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- Neural Networks and Applications 1
- Co-authors
- John P. DonoghueNicholas G. HatsopoulosLiam PaninskiMijail D. SerruyaUri T. EdenEmery N. BrownWilson TruccoloShy Shoham
- Journals
- IEEE Transactions on Biomedical Engineering (2 papers)Journal of Neurophysiology (2 papers)IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Matthew Fellows
15 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 2.7k
- Cellular and Molecular Neuroscience 2.0k
- Human-Computer Interaction 83
- Biomedical Engineering 642
- Signal Processing 133
Countries citing papers authored by Matthew Fellows
This map shows the geographic impact of Matthew Fellows'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 Fellows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Fellows more than expected).
Fields of papers citing papers by Matthew Fellows
This network shows the impact of papers produced by Matthew Fellows. 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 Fellows. The network helps show where Matthew Fellows may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Fellows, 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 | VIREL: A Variational Inference Framework for Reinforcement Learning | 2019 | 4 |
| 2 | 2013 | 40 | |
| 3 | 2006 | 13 | |
| 4 | 2005 | 25 | |
| 5 | 2005 | 324 | |
| 6 | 2005 | 50 | |
| 7 | 2005 | 63 | |
| 8 | 2005 | 31 | |
| 9 | A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effectsbreakdown → | 2004 | 692 |
| 10 | 2004 | 120 | |
| 11 | 2004 | 289 | |
| 12 | 2004 | 90 | |
| 13 | 2003 | 76 | |
| 14 | 2003 | 253 | |
| 15 | Instant neural control of a movement signalbreakdown → | 2002 | 1005 |
About Matthew Fellows
Matthew Fellows is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Applied Mathematics, having authored 15 papers that have together received 3.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (9 papers), Muscle activation and electromyography studies (3 papers), Advanced Memory and Neural Computing (2 papers), Point processes and geometric inequalities (1 paper), Motor Control and Adaptation (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Cellular and Molecular Neuroscience (2.0k citations) and Human-Computer Interaction (83 citations). Matthew Fellows has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include John P. Donoghue, Nicholas G. Hatsopoulos, Liam Paninski, Mijail D. Serruya, Uri T. Eden, Emery N. Brown, Wilson Truccolo, Shy Shoham, Richard A. Normann and Carlos E. Vargas-Irwin. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Neurophysiology, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biological Cybernetics and PLoS Computational Biology.
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.