Stephen I. Ryu
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Electrical and Electronic Engineering top 5%
- Biomedical Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Krishna V. ShenoyGopal SanthanamByron M. YuAfsheen AfsharPaul NuyujukianVikash GiljaJonathan C. KaoMark M. Churchland
- Topics
- EEG and Brain-Computer Interfaces (62 papers)Neuroscience and Neural Engineering (55 papers)Neural dynamics and brain function (24 papers)
- Journals
- NatureNature CommunicationsNeuron
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Stephen I. Ryu
72 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 3.4k
- Cellular and Molecular Neuroscience 2.3k
- Electrical and Electronic Engineering 866
- Biomedical Engineering 832
- Artificial Intelligence 187
Countries citing papers authored by Stephen I. Ryu
This map shows the geographic impact of Stephen I. Ryu'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 Stephen I. Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen I. Ryu more than expected).
Fields of papers citing papers by Stephen I. Ryu
This network shows the impact of papers produced by Stephen I. Ryu. 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 Stephen I. Ryu. The network helps show where Stephen I. Ryu may publish in the future.
Co-authorship network of co-authors of Stephen I. Ryu
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen I. Ryu. A scholar is included among the top collaborators of Stephen I. Ryu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen I. Ryu. Stephen I. Ryu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 19 | |
| 3 | 64 | |
| 4 | 119 | |
| 5 | 61 | |
| 6 | 63 | |
| 7 | 53 | |
| 8 | 46 | |
| 9 | 123 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 156 | |
| 13 | 10 | |
| 14 | 7 | |
| 15 | 25 | |
| 16 | 3 | |
| 17 | 115 | |
| 18 | 124 | |
| 19 | 8 | |
| 20 | 11 |
About Stephen I. Ryu
Stephen I. Ryu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 72 papers that have together received 3.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (62 papers), Neuroscience and Neural Engineering (55 papers) and Neural dynamics and brain function (24 papers). The work is most often cited by research in Cognitive Neuroscience (3.4k citations), Cellular and Molecular Neuroscience (2.3k citations) and Human-Computer Interaction (148 citations). Stephen I. Ryu has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Krishna V. Shenoy, Gopal Santhanam, Byron M. Yu, Afsheen Afshar, Paul Nuyujukian, Vikash Gilja, Jonathan C. Kao, Mark M. Churchland, John P. Cunningham and Cynthia A. Chestek. Their work appears in journals such as Nature, Nature Communications and Neuron.
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.