Guy Hotson
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
Papers in ⓘ
-
- EEG and Brain-Computer Interfaces 8
-
- Neuroscience and Neural Engineering 7
- Co-authors
- Nitish V. Thakor (7 shared papers)Nathan E. Crone (7 shared papers)Matthew S. Fifer (7 shared papers)William S. Anderson (5 shared papers)Brock A. Wester (5 shared papers)Matthew S. Johannes (4 shared papers)David P. McMullen (4 shared papers)Kapil D. Katyal (4 shared papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (2 papers)IEEE Robotics and Automation Letters (1 paper)PLoS ONE (1 paper)Journal of Neural Engineering (1 paper)Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control (1 paper)
- Partner nations
- United StatesSingaporeNetherlands
In The Last Decade
Guy Hotson
9 papers receiving 460 citations
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 362
- Human-Computer Interaction 83
- Cellular and Molecular Neuroscience 276
- Biomedical Engineering 188
- Neurology 24
Countries citing papers authored by Guy Hotson
This map shows the geographic impact of Guy Hotson'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 Guy Hotson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Hotson more than expected).
Fields of papers citing papers by Guy Hotson
This network shows the impact of papers produced by Guy Hotson. 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 Guy Hotson. The network helps show where Guy Hotson may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Hotson, 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 | 2014 | 147 | |
| 2 | 2016 | 145 | |
| 3 | 2013 | 65 | |
| 4 | 1996 | 40 | |
| 5 | 2014 | 25 | |
| 6 | 2016 | 19 | |
| 7 | 2013 | 14 | |
| 8 | 2012 | 7 | |
| 9 | 2014 | 6 |
About Guy Hotson
Guy Hotson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Pharmacology and Pathology and Forensic Medicine, having authored 9 papers that have together received 468 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neural Engineering (7 papers), Muscle activation and electromyography studies (4 papers), Advanced Memory and Neural Computing (3 papers), Spinal Cord Injury Research (1 paper), Musculoskeletal pain and rehabilitation (1 paper) and Nerve Injury and Rehabilitation (1 paper). The work is most often cited by research in Cognitive Neuroscience (362 citations), Human-Computer Interaction (83 citations), Cellular and Molecular Neuroscience (276 citations), Biomedical Engineering (188 citations) and Neurology (24 citations). Guy Hotson has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Nitish V. Thakor, Nathan E. Crone, Matthew S. Fifer, William S. Anderson, Brock A. Wester, Matthew S. Johannes, David P. McMullen, Kapil D. Katyal, Matthew P. Para and R. Jacob Vogelstein. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Robotics and Automation Letters, PLoS ONE, Journal of Neural Engineering and Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control.
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.