Stephen P. DeWeerth
- Biomedical Engineering top 2%
- Electrical and Electronic Engineering top 5%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 2%
- Control and Systems Engineering top 5%
- Co-authors
- E.A. BrownLiang GuoMario SimoniJonathan RossDenise WilsonGennady CymbalyukCarver MeadShawn Hochman
- Topics
- Neuroscience and Neural Engineering (54 papers)Advanced Memory and Neural Computing (38 papers)Neural dynamics and brain function (38 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Stephen P. DeWeerth
124 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 106
- Biomedical Engineering 1.1k
- Electrical and Electronic Engineering 984
- Cellular and Molecular Neuroscience 839
- Cognitive Neuroscience 701
- Control and Systems Engineering 186
Countries citing papers authored by Stephen P. DeWeerth
This map shows the geographic impact of Stephen P. DeWeerth'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 P. DeWeerth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. DeWeerth more than expected).
Fields of papers citing papers by Stephen P. DeWeerth
This network shows the impact of papers produced by Stephen P. DeWeerth. 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 P. DeWeerth. The network helps show where Stephen P. DeWeerth may publish in the future.
Co-authorship network of co-authors of Stephen P. DeWeerth
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. DeWeerth. A scholar is included among the top collaborators of Stephen P. DeWeerth 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 P. DeWeerth. Stephen P. DeWeerth 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 | 19 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 28 | |
| 7 | 11 | |
| 8 | 83 | |
| 9 | 12 | |
| 10 | 28 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron. | 7 |
| 14 | A Neuromorphic VLSI System for Modeling the Neural Control of Axial Locomotion | 7 |
| 15 | Bifurcation Analysis of a Silicon Neuron | 11 |
| 16 | Analog VLSI circuits for adaptive chemical discrimination | 6 |
| 17 | Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling | 11 |
| 18 | Analog VLSI Circuits for Attention-Based, Visual Tracking | 32 |
| 19 | Analog Encoding Circuits for a Digital CMOS Neural Oscillator. | 2 |
| 20 | An Analog VLSI Model of Adaptation in the Vestibulo-Ocular Reflex | 2 |
About Stephen P. DeWeerth
Stephen P. DeWeerth is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Architecture, having authored 133 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (54 papers), Advanced Memory and Neural Computing (38 papers) and Neural dynamics and brain function (38 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (839 citations), Cognitive Neuroscience (701 citations) and Biomedical Engineering (1.1k citations). Stephen P. DeWeerth has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include E.A. Brown, Liang Guo, Mario Simoni, Jonathan Ross, Denise Wilson, Gennady Cymbalyuk, Carver Mead, Shawn Hochman, Kathleen Meacham and T. Richard Nichols. Their work appears in journals such as Advanced Materials, Proceedings of the IEEE and Journal of Neurophysiology.
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.