Stephen Deiss
Impact in
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- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- EEG and Brain-Computer Interfaces 9
- Neural dynamics and brain function 5
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- Advanced Memory and Neural Computing 10
- Ferroelectric and Negative Capacitance Devices 6
- CCD and CMOS Imaging Sensors 5
- Co-authors
- Gert Cauwenberghs (18 shared papers)Thomas J. Sullivan (3 shared papers)Siddharth Joshi (3 shared papers)Weier Wan (2 shared papers)Rajkumar Kubendran (2 shared papers)Bin Gao (2 shared papers)Wenqiang Zhang (2 shared papers)Priyanka Raina (2 shared papers)
- Journals
- IEEE Transactions on Nuclear Science (3 papers)Frontiers in Neuroscience (2 papers)IEEE Transactions on Biomedical Circuits and Systems (1 paper)Nature Biomedical Engineering (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Stephen Deiss
24 papers receiving 1.2k citations
Stephen Deiss's Hit Papers
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 324
- Cognitive Neuroscience 332
- Electrical and Electronic Engineering 740
- Biomedical Engineering 352
- Cardiology and Cardiovascular Medicine 106
Countries citing papers authored by Stephen Deiss
This map shows the geographic impact of Stephen Deiss'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 Deiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Deiss more than expected).
Fields of papers citing papers by Stephen Deiss
This network shows the impact of papers produced by Stephen Deiss. 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 Deiss. The network helps show where Stephen Deiss may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Deiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A compute-in-memory chip based on resistive random-access memory Hit paper breakdown → | 2022 | 567 |
| 2 | 2007 | 150 | |
| 3 | In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat Hit paper breakdown → | 2023 | 110 |
| 4 | 2020 | 107 | |
| 5 | 2009 | 96 | |
| 6 | 2008 | 66 | |
| 7 | 2023 | 23 | |
| 8 | 2014 | 23 | |
| 9 | 2019 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 1983 | 6 | |
| 17 | 2022 | 3 | |
| 18 | 1981 | 3 | |
| 19 | 2002 | 3 | |
| 20 | 1983 | 2 |
About Stephen Deiss
Stephen Deiss is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering and Artificial Intelligence, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), EEG and Brain-Computer Interfaces (9 papers), Neuroscience and Neural Engineering (8 papers), Ferroelectric and Negative Capacitance Devices (6 papers), Neural dynamics and brain function (5 papers), CCD and CMOS Imaging Sensors (5 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (324 citations), Cognitive Neuroscience (332 citations), Electrical and Electronic Engineering (740 citations), Biomedical Engineering (352 citations) and Cardiology and Cardiovascular Medicine (106 citations). Stephen Deiss has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gert Cauwenberghs, Thomas J. Sullivan, Siddharth Joshi, Weier Wan, Rajkumar Kubendran, Bin Gao, Wenqiang Zhang, Priyanka Raina, H.‐S. Philip Wong and Dabin Wu. Their work appears in journals such as IEEE Transactions on Nuclear Science, Frontiers in Neuroscience, IEEE Transactions on Biomedical Circuits and Systems, Nature Biomedical Engineering and PLoS Computational Biology.
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.