Jason Prentice
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
-
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neural dynamics and brain function 11
- EEG and Brain-Computer Interfaces 4
- Visual perception and processing mechanisms 2
- Memory and Neural Mechanisms 1
-
- Neuroscience and Neural Engineering 6
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Vijay Balasubramanian (9 shared papers)Gašper Tkačik (9 shared papers)Elad Schneidman (2 shared papers)Xue-Xin Wei (1 shared paper)Jonathan D. Victor (1 shared paper)Kristina D. Simmons (5 shared papers)Philip Nelson (4 shared papers)Michael J. Berry (3 shared papers)
- Journals
- BMC Neuroscience (2 papers)PLoS Computational Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Neural Computation (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesAustriaIsrael
In The Last Decade
Jason Prentice
12 papers receiving 337 citations
Peers
Comparison fields: 5 of 50
- Cognitive Neuroscience 285
- Cellular and Molecular Neuroscience 144
- Sensory Systems 12
- Statistical and Nonlinear Physics 30
- Biophysics 9
Countries citing papers authored by Jason Prentice
This map shows the geographic impact of Jason Prentice'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 Jason Prentice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Prentice more than expected).
Fields of papers citing papers by Jason Prentice
This network shows the impact of papers produced by Jason Prentice. 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 Jason Prentice. The network helps show where Jason Prentice may publish in the future.
Co-authors
The 11 scholars most cited alongside Jason Prentice, 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 | 2010 | 116 | |
| 2 | 2010 | 60 | |
| 3 | 2011 | 55 | |
| 4 | 2015 | 49 | |
| 5 | 2011 | 22 | |
| 6 | 2016 | 17 | |
| 7 | 2013 | 10 | |
| 8 | 2017 | 4 | |
| 9 | 2009 | 3 | |
| 10 | Noise-robust modes of the retinal population code geometrically correspond with "ridges" | 2016 | 2 |
| 11 | Transformation of stimulus correlations by the retina | 2014 | 1 |
| 12 | 2010 | 1 |
About Jason Prentice
Jason Prentice is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 12 papers that have together received 340 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (6 papers), EEG and Brain-Computer Interfaces (4 papers), Retinal Development and Disorders (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Visual perception and processing mechanisms (2 papers), Memory and Neural Mechanisms (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Cognitive Neuroscience (285 citations), Cellular and Molecular Neuroscience (144 citations), Sensory Systems (12 citations), Statistical and Nonlinear Physics (30 citations) and Biophysics (9 citations). Jason Prentice has collaborated with scholars based in United States, Austria and Israel. Frequent co-authors include Vijay Balasubramanian, Gašper Tkačik, Elad Schneidman, Xue-Xin Wei, Jonathan D. Victor, Kristina D. Simmons, Philip Nelson, Michael J. Berry, Olivier Marre and Stephanie E. Palmer. Their work appears in journals such as BMC Neuroscience, PLoS Computational Biology, Proceedings of the National Academy of Sciences, Neural Computation and Biophysical Journal.
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.