Ed Erwin
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Artificial Intelligence top 5%
- Neural Networks and Applications
Papers in
-
- Visual perception and processing mechanisms 8
- Neural dynamics and brain function 5
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- Retinal Development and Disorders 5
- Co-authors
- Klaus Obermayer (2 shared papers)Klaus Schulten (2 shared papers)Kenneth D. Miller (3 shared papers)Andrew S. Kayser (1 shared paper)Joseph G. Malpeli (2 shared papers)Frank Baker (2 shared papers)Gregg Helt (1 shared paper)Cyrus L. Harmon (1 shared paper)
- Journals
- Biological Cybernetics (2 papers)The Journal of Comparative Neurology (2 papers)Journal of Neuroscience (2 papers)Neural Computation (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Ed Erwin
11 papers receiving 601 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 351
- Artificial Intelligence 287
- Cellular and Molecular Neuroscience 149
- Computer Vision and Pattern Recognition 123
- Signal Processing 57
Countries citing papers authored by Ed Erwin
This map shows the geographic impact of Ed Erwin'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 Ed Erwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Erwin more than expected).
Fields of papers citing papers by Ed Erwin
This network shows the impact of papers produced by Ed Erwin. 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 Ed Erwin. The network helps show where Ed Erwin may publish in the future.
Co-authors
The 15 scholars most cited alongside Ed Erwin, 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 | 1992 | 232 | |
| 2 | 1995 | 170 | |
| 3 | 1992 | 81 | |
| 4 | 1998 | 70 | |
| 5 | 1999 | 53 | |
| 6 | 2009 | 20 | |
| 7 | 1999 | 19 | |
| 8 | 1999 | 11 | |
| 9 | 2001 | 4 | |
| 10 | A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex | 1994 | 1 |
| 11 | 1999 | 1 | |
| 12 | 1995 | 0 |
About Ed Erwin
Ed Erwin is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology and Artificial Intelligence, having authored 12 papers that have together received 662 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (8 papers), Retinal Development and Disorders (5 papers), Neural dynamics and brain function (5 papers), Glaucoma and retinal disorders (3 papers), Neural Networks and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced Memory and Neural Computing (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (351 citations), Artificial Intelligence (287 citations), Cellular and Molecular Neuroscience (149 citations), Computer Vision and Pattern Recognition (123 citations) and Signal Processing (57 citations). Ed Erwin has collaborated with scholars based in United States and Germany. Frequent co-authors include Klaus Obermayer, Klaus Schulten, Kenneth D. Miller, Klaus Obermayer, Klaus Schulten, Andrew S. Kayser, Joseph G. Malpeli, Frank Baker, Gregg Helt and Cyrus L. Harmon. Their work appears in journals such as Biological Cybernetics, The Journal of Comparative Neurology, Journal of Neuroscience, Neural Computation and BMC Bioinformatics.
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.