Ethan Farquhar
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- P. HaslerBrian DegnanDavid W. GrahamArindam BasuDimitri ZarzhitskyThomas E. CarrollGlenn FinkM.N. Ericson
- Topics
- Analog and Mixed-Signal Circuit Design (7 papers)Advanced Memory and Neural Computing (6 papers)Neuroscience and Neural Engineering (4 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- PLoS ONEJournal of CommunicationsIEEE Transactions on Circuits and Systems I Fundamental Theory and Applications
- Partner nations
- United States
In The Last Decade
Ethan Farquhar
19 papers receiving 320 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 261
- Cognitive Neuroscience 129
- Cellular and Molecular Neuroscience 111
- Artificial Intelligence 83
- Biomedical Engineering 83
Countries citing papers authored by Ethan Farquhar
This map shows the geographic impact of Ethan Farquhar'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 Ethan Farquhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ethan Farquhar more than expected).
Fields of papers citing papers by Ethan Farquhar
This network shows the impact of papers produced by Ethan Farquhar. 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 Ethan Farquhar. The network helps show where Ethan Farquhar may publish in the future.
Co-authorship network of co-authors of Ethan Farquhar
This figure shows the co-authorship network connecting the top 25 collaborators of Ethan Farquhar. A scholar is included among the top collaborators of Ethan Farquhar 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 Ethan Farquhar. Ethan Farquhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 23 | |
| 3 | 13 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | ENHANCING NETWORK SECURITY USING 'LEARNING-FROM-SIGNALS' AND FRACTIONAL FOURIER TRANSFORM BASED RF-DNA FINGERPRINTS | 3 |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 22 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 120 | |
| 15 | 19 | |
| 16 | 6 | |
| 17 | 20 | |
| 18 | 17 | |
| 19 | 3 |
About Ethan Farquhar
Ethan Farquhar is a scholar working on Biophysics, Signal Processing and Physical Therapy, Sports Therapy and Rehabilitation, having authored 19 papers that have together received 333 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (7 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (129 citations), Cellular and Molecular Neuroscience (111 citations) and Electrical and Electronic Engineering (261 citations). Ethan Farquhar has collaborated with scholars based in United States. Frequent co-authors include P. Hasler, Brian Degnan, David W. Graham, Arindam Basu, Dimitri Zarzhitsky, Thomas E. Carroll, Glenn Fink, M.N. Ericson, Tony J. Akl and Gerard L. Coté. Their work appears in journals such as PLoS ONE, Journal of Communications and IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications.
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.