E. Paxon Frady
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Co-authors
- Christof KochMoran CerfWilliam B. KristanEvan W. MillerRoger Y. TsienJohn Y. LinPaul SteinbachBruno A. Olshausen
- Topics
- Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Neural Networks and Reservoir Computing (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNeuron
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
E. Paxon Frady
23 papers receiving 970 citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 272
- Electrical and Electronic Engineering 255
- Cellular and Molecular Neuroscience 251
- Computer Vision and Pattern Recognition 225
- Molecular Biology 188
Countries citing papers authored by E. Paxon Frady
This map shows the geographic impact of E. Paxon Frady'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 E. Paxon Frady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Paxon Frady more than expected).
Fields of papers citing papers by E. Paxon Frady
This network shows the impact of papers produced by E. Paxon Frady. 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 E. Paxon Frady. The network helps show where E. Paxon Frady may publish in the future.
Co-authorship network of co-authors of E. Paxon Frady
This figure shows the co-authorship network connecting the top 25 collaborators of E. Paxon Frady. A scholar is included among the top collaborators of E. Paxon Frady 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 E. Paxon Frady. E. Paxon Frady is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 28 | |
| 7 | 29 | |
| 8 | 14 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 98 | |
| 12 | 24 | |
| 13 | 70 | |
| 14 | 13 | |
| 15 | 89 | |
| 16 | 3 | |
| 17 | 228 | |
| 18 | 248 | |
| 19 | 9 | |
| 20 | 33 |
About E. Paxon Frady
E. Paxon Frady is a scholar working on Aging, Cognitive Neuroscience and Electrochemistry, having authored 23 papers that have together received 995 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Neural Networks and Reservoir Computing (8 papers). The work is most often cited by research in Sensory Systems (82 citations), Cognitive Neuroscience (272 citations) and Cellular and Molecular Neuroscience (251 citations). E. Paxon Frady has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Christof Koch, Moran Cerf, William B. Kristan, Evan W. Miller, Roger Y. Tsien, John Y. Lin, Paul Steinbach, Bruno A. Olshausen, Denis Kleyko and Friedrich T. Sommer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Neuron.
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.