Edwin M. Maynard
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 2%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in ⓘ
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- Neuroscience and Neural Engineering 8
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- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 4
- Co-authors
- Richard A. Normann (8 shared papers)David J. Warren (2 shared papers)P.J. Rousche (1 shared paper)Nicholas G. Hatsopoulos (1 shared paper)Catherine L. Ojakangas (1 shared paper)Jerome N. Sanes (1 shared paper)John P. Donoghue (1 shared paper)Eduardo Fernández (1 shared paper)
- Journals
- Journal of Neurophysiology (1 paper)Journal of Neuroscience (1 paper)Brain Research (1 paper)Vision Research (1 paper)Nature (1 paper)
- Partner nations
- United StatesRussiaSpain
In The Last Decade
Edwin M. Maynard
9 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 1.3k
- Cognitive Neuroscience 1.0k
- Electrical and Electronic Engineering 573
- Biomedical Engineering 340
- Polymers and Plastics 98
Countries citing papers authored by Edwin M. Maynard
This map shows the geographic impact of Edwin M. Maynard'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 Edwin M. Maynard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin M. Maynard more than expected).
Fields of papers citing papers by Edwin M. Maynard
This network shows the impact of papers produced by Edwin M. Maynard. 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 Edwin M. Maynard. The network helps show where Edwin M. Maynard may publish in the future.
Co-authors
The 12 scholars most cited alongside Edwin M. Maynard, 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 | 1997 | 441 | |
| 2 | 1999 | 291 | |
| 3 | 1996 | 257 | |
| 4 | 1999 | 222 | |
| 5 | 2000 | 83 | |
| 6 | 2001 | 80 | |
| 7 | 2001 | 79 | |
| 8 | 1996 | 64 | |
| 9 | 2005 | 14 |
About Edwin M. Maynard
Edwin M. Maynard is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Sensory Systems, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Memory and Neural Computing (3 papers), Advanced Chemical Sensor Technologies (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), CCD and CMOS Imaging Sensors (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cognitive Neuroscience (1.0k citations), Electrical and Electronic Engineering (573 citations), Biomedical Engineering (340 citations) and Polymers and Plastics (98 citations). Edwin M. Maynard has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Richard A. Normann, David J. Warren, P.J. Rousche, Nicholas G. Hatsopoulos, Catherine L. Ojakangas, Jerome N. Sanes, John P. Donoghue, Eduardo Fernández, Shy Shoham and Eric Halgren. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Brain Research, Vision Research and Nature.
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.