Sho Nakagome
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 17
- Motor Control and Adaptation 6
- Neural dynamics and brain function 3
- Visual perception and processing mechanisms 2
- Rehabilitation top 5%
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- Balance, Gait, and Falls Prevention 3
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 5
- Biomedical Engineering top 10%
- Muscle activation and electromyography studies 9
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- Neuroscience and Neural Engineering 5
- Co-authors
- José L. Contreras-VidalTrieu Phat LuuYongtian HeJustin BrantleyFangshi ZhuSamuel M. BrownJesús G. Cruz-GarzaKevin Nathan
- Partner nations
- United StatesSwitzerlandBangladesh
In The Last Decade
Sho Nakagome
22 papers receiving 668 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 449
- Rehabilitation 145
- Physical Therapy, Sports Therapy and Rehabilitation 83
- Human-Computer Interaction 77
- Biomedical Engineering 329
Countries citing papers authored by Sho Nakagome
This map shows the geographic impact of Sho Nakagome'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 Sho Nakagome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sho Nakagome more than expected).
Fields of papers citing papers by Sho Nakagome
This network shows the impact of papers produced by Sho Nakagome. 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 Sho Nakagome. The network helps show where Sho Nakagome may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sho Nakagome, 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 | 2022 | 4 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 62 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 15 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 31 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 26 | |
| 10 | 2017 | 68 | |
| 11 | 2017 | 11 | |
| 12 | 2017 | 45 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 37 | |
| 15 | 2017 | 9 | |
| 16 | 2017 | 20 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 142 | |
| 19 | 2015 | 33 | |
| 20 | 2015 | 29 |
About Sho Nakagome
Sho Nakagome is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Physical Therapy, Sports Therapy and Rehabilitation, having authored 22 papers that have together received 695 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Muscle activation and electromyography studies (9 papers), Motor Control and Adaptation (6 papers), Gaze Tracking and Assistive Technology (5 papers), Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (3 papers), Balance, Gait, and Falls Prevention (3 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (449 citations), Rehabilitation (145 citations) and Physical Therapy, Sports Therapy and Rehabilitation (83 citations). Sho Nakagome has collaborated with scholars based in United States, Switzerland and Bangladesh. Frequent co-authors include José L. Contreras-Vidal, Trieu Phat Luu, Yongtian He, Justin Brantley, Fangshi Zhu, Samuel M. Brown, Jesús G. Cruz-Garza, Kevin Nathan, José L. Pons and Nikunj Bhagat. Their work appears in journals such as PLoS ONE, Scientific Reports and Neuroscience.
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.