Patrick A. Stokes
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
-
- Mental Health Research Topics
Papers in
-
- Neural dynamics and brain function 4
- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 2
- Sleep and Wakefulness Research 1
-
- Neural Networks and Applications 1
- AI in cancer detection 1
- Co-authors
- Patrick L. Purdon (1 shared paper)Michael J. Prerau (2 shared papers)Rachel G. Zsido (1 shared paper)Riccardo Barbieri (1 shared paper)Rose T. Faghih (1 shared paper)Emad N. Eskandar (1 shared paper)Emery N. Brown (1 shared paper)Marie‐France Marin (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)SLEEP (1 paper)IEEE Access (1 paper)PubMed (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)
- Partner nations
- United States
In The Last Decade
Patrick A. Stokes
5 papers receiving 256 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 148
- Experimental and Cognitive Psychology 36
- Statistical and Nonlinear Physics 18
- Sensory Systems 6
- Radiology, Nuclear Medicine and Imaging 26
Countries citing papers authored by Patrick A. Stokes
This map shows the geographic impact of Patrick A. Stokes'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 Patrick A. Stokes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick A. Stokes more than expected).
Fields of papers citing papers by Patrick A. Stokes
This network shows the impact of papers produced by Patrick A. Stokes. 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 Patrick A. Stokes. The network helps show where Patrick A. Stokes may publish in the future.
Co-authors
The 17 scholars most cited alongside Patrick A. Stokes, 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 | 2017 | 203 | |
| 2 | 2015 | 33 | |
| 3 | 2022 | 16 | |
| 4 | 2020 | 3 | |
| 5 | 2006 | 1 |
About Patrick A. Stokes
Patrick A. Stokes is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology and Signal Processing, having authored 5 papers that have together received 256 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (2 papers), Blind Source Separation Techniques (1 paper), Neural Networks and Applications (1 paper), AI in cancer detection (1 paper), Sleep and Wakefulness Research (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Cognitive Neuroscience (148 citations), Experimental and Cognitive Psychology (36 citations), Statistical and Nonlinear Physics (18 citations), Sensory Systems (6 citations) and Radiology, Nuclear Medicine and Imaging (26 citations). Patrick A. Stokes has collaborated with scholars based in United States. Frequent co-authors include Patrick L. Purdon, Michael J. Prerau, Rachel G. Zsido, Riccardo Barbieri, Rose T. Faghih, Emad N. Eskandar, Emery N. Brown, Marie‐France Marin, Huijin Song and Mohammed R. Milad. Their work appears in journals such as Proceedings of the National Academy of Sciences, SLEEP, IEEE Access, PubMed and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.
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.