Corinne Teeter
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 1
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- Neural Networks and Reservoir Computing 4
- Co-authors
- Charles F. Stevens (1 shared paper)Vilas Menon (1 shared paper)Hongkui Zeng (1 shared paper)Nathan W. Gouwens (1 shared paper)Michael Hawrylycz (1 shared paper)Ramakrishnan Iyer (1 shared paper)Christof Koch (1 shared paper)Jim Berg (1 shared paper)
- Journals
- Optics Express (1 paper)Current Biology (1 paper)Nature Communications (1 paper)Nuclear Science and Engineering (1 paper)Frontiers in Neural Circuits (1 paper)
- Partner nations
- United States
In The Last Decade
Corinne Teeter
9 papers receiving 190 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 117
- Cellular and Molecular Neuroscience 73
- Biophysics 20
- Statistical and Nonlinear Physics 25
- Electrical and Electronic Engineering 71
Countries citing papers authored by Corinne Teeter
This map shows the geographic impact of Corinne Teeter'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 Corinne Teeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corinne Teeter more than expected).
Fields of papers citing papers by Corinne Teeter
This network shows the impact of papers produced by Corinne Teeter. 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 Corinne Teeter. The network helps show where Corinne Teeter may publish in the future.
Co-authors
The 25 scholars most cited alongside Corinne Teeter, 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 | 2018 | 129 | |
| 2 | 2011 | 35 | |
| 3 | 2014 | 10 | |
| 4 | 2005 | 9 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | Characterizing the Spatial Density Functions of Neural Arbors | 2010 | 1 |
| 10 | 2025 | 0 | |
| 11 | 2024 | 0 |
About Corinne Teeter
Corinne Teeter is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Geometry and Topology, having authored 11 papers that have together received 191 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neural Networks and Reservoir Computing (4 papers), Advanced Memory and Neural Computing (4 papers), Optical Network Technologies (2 papers), Visual perception and processing mechanisms (1 paper), Neutrino Physics Research (1 paper), Particle Detector Development and Performance (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (117 citations), Cellular and Molecular Neuroscience (73 citations), Biophysics (20 citations), Statistical and Nonlinear Physics (25 citations) and Electrical and Electronic Engineering (71 citations). Corinne Teeter has collaborated with scholars based in United States. Frequent co-authors include Charles F. Stevens, Vilas Menon, Hongkui Zeng, Nathan W. Gouwens, Michael Hawrylycz, Ramakrishnan Iyer, Christof Koch, Jim Berg, Nicholas Cain and Ştefan Mihalaş. Their work appears in journals such as Optics Express, Current Biology, Nature Communications, Nuclear Science and Engineering and Frontiers in Neural Circuits.
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.