Sagi Perel
Impact in
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Motor Control and Adaptation
- Functional Brain Connectivity Studies
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- Neuroscience and Neural Engineering
Papers in
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- EEG and Brain-Computer Interfaces 5
- Motor Control and Adaptation 3
- Neural dynamics and brain function 3
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- Neuroscience and Neural Engineering 5
- Co-authors
- Andrew B. Schwartz (4 shared papers)M. Chance Spalding (1 shared paper)Andrew Whitford (1 shared paper)Meel Velliste (1 shared paper)Aaron P. Batista (3 shared papers)Steven M. Chase (3 shared papers)Patrick T. Sadtler (3 shared papers)Emily R. Oby (2 shared papers)
- Journals
- Journal of Neurophysiology (2 papers)Neural Computation (1 paper)Journal of Neural Engineering (1 paper)Nature (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sagi Perel
9 papers receiving 1.2k citations
Sagi Perel's Hit Papers
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 1.1k
- Cellular and Molecular Neuroscience 905
- Human-Computer Interaction 81
- Biomedical Engineering 347
- Computational Mathematics 3
Countries citing papers authored by Sagi Perel
This map shows the geographic impact of Sagi Perel'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 Sagi Perel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sagi Perel more than expected).
Fields of papers citing papers by Sagi Perel
This network shows the impact of papers produced by Sagi Perel. 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 Sagi Perel. The network helps show where Sagi Perel may publish in the future.
Co-authors
The 25 scholars most cited alongside Sagi Perel, 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 | Cortical control of a prosthetic arm for self-feeding Hit paper breakdown → | 2008 | 1121 |
| 2 | 2015 | 41 | |
| 3 | 2016 | 30 | |
| 4 | 2019 | 26 | |
| 5 | 2023 | 13 | |
| 6 | 2013 | 9 | |
| 7 | 2014 | 6 | |
| 8 | 2013 | 2 | |
| 9 | 2014 | 2 | |
| 10 | Dynamic Functional Connectivity Between Cortex and Muscles | 2012 | 0 |
About Sagi Perel
Sagi Perel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Signal Processing and Artificial Intelligence, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (4 papers), Motor Control and Adaptation (3 papers), Neural dynamics and brain function (3 papers), Speech and Audio Processing (2 papers), Music and Audio Processing (2 papers) and Music Technology and Sound Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (905 citations), Human-Computer Interaction (81 citations), Biomedical Engineering (347 citations) and Computational Mathematics (3 citations). Sagi Perel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Andrew B. Schwartz, M. Chance Spalding, Andrew Whitford, Meel Velliste, Aaron P. Batista, Steven M. Chase, Patrick T. Sadtler, Emily R. Oby, Stephen I. Ryu and Elizabeth C. Tyler‐Kabara. Their work appears in journals such as Journal of Neurophysiology, Neural Computation, Journal of Neural Engineering, Nature and Neural Computing and Applications.
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.