Sergey D. Stavisky
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Krishna V. ShenoyJonathan C. KaoStephen I. RyuLeigh R. HochbergPaul NuyujukianDavid SussilloJaimie M. HendersonEric M. Trautmann
- Topics
- EEG and Brain-Computer Interfaces (37 papers)Neuroscience and Neural Engineering (28 papers)Neural dynamics and brain function (19 papers)
- Partner nations
- United StatesRussiaBelgium
In The Last Decade
Sergey D. Stavisky
37 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Cognitive Neuroscience 1.7k
- Cellular and Molecular Neuroscience 980
- Electrical and Electronic Engineering 438
- Biomedical Engineering 289
- Artificial Intelligence 154
Countries citing papers authored by Sergey D. Stavisky
This map shows the geographic impact of Sergey D. Stavisky'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 Sergey D. Stavisky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergey D. Stavisky more than expected).
Fields of papers citing papers by Sergey D. Stavisky
This network shows the impact of papers produced by Sergey D. Stavisky. 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 Sergey D. Stavisky. The network helps show where Sergey D. Stavisky may publish in the future.
Co-authorship network of co-authors of Sergey D. Stavisky
This figure shows the co-authorship network connecting the top 25 collaborators of Sergey D. Stavisky. A scholar is included among the top collaborators of Sergey D. Stavisky 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 Sergey D. Stavisky. Sergey D. Stavisky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 8 | |
| 4 | An Accurate and Rapidly Calibrating Speech Neuroprosthesisbreakdown → | 48 |
| 5 | Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortexbreakdown → | 137 |
| 6 | 16 | |
| 7 | 60 | |
| 8 | 30 | |
| 9 | 63 | |
| 10 | 6 | |
| 11 | 75 | |
| 12 | 19 | |
| 13 | 64 | |
| 14 | 17 | |
| 15 | 32 | |
| 16 | 119 | |
| 17 | 100 | |
| 18 | 86 | |
| 19 | 27 | |
| 20 | 123 |
About Sergey D. Stavisky
Sergey D. Stavisky is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), Neuroscience and Neural Engineering (28 papers) and Neural dynamics and brain function (19 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (980 citations) and Human-Computer Interaction (79 citations). Sergey D. Stavisky has collaborated with scholars based in United States, Russia and Belgium. Frequent co-authors include Krishna V. Shenoy, Jonathan C. Kao, Stephen I. Ryu, Leigh R. Hochberg, Paul Nuyujukian, David Sussillo, Stephen I. Ryu, Jaimie M. Henderson, Eric M. Trautmann and Daniel J. O’Shea. Their work appears in journals such as Nature, New England Journal of Medicine and Nature Communications.
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.