Ryan Prenger
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Biophysics top 5%
Papers in
-
- Speech Recognition and Synthesis 3
- Anomaly Detection Techniques and Applications 2
- Natural Language Processing Techniques 2
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- Neural dynamics and brain function 6
- Visual perception and processing mechanisms 5
- Face Recognition and Perception 2
- Co-authors
- Jack L. Gallant (8 shared papers)Kendrick Kay (4 shared papers)Thomas Naselaris (3 shared papers)Michael Oliver (2 shared papers)Brian Van Essen (1 shared paper)Maya Gokhale (1 shared paper)Ben D. B. Willmore (2 shared papers)Stephen V. David (2 shared papers)
- Journals
- Journal of Vision (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)Journal of Neuroscience (1 paper)Neural Networks (1 paper)Human Brain Mapping (1 paper)
- Partner nations
- United StatesHong KongItaly
In The Last Decade
Ryan Prenger
18 papers receiving 1.7k citations
Ryan Prenger's Hit Papers
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 1.3k
- Biophysics 105
- Signal Processing 172
- Computer Vision and Pattern Recognition 302
- Artificial Intelligence 310
Countries citing papers authored by Ryan Prenger
This map shows the geographic impact of Ryan Prenger'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 Ryan Prenger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Prenger more than expected).
Fields of papers citing papers by Ryan Prenger
This network shows the impact of papers produced by Ryan Prenger. 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 Ryan Prenger. The network helps show where Ryan Prenger may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Prenger, 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 | Identifying natural images from human brain activity Hit paper breakdown → | 2008 | 908 |
| 2 | 2009 | 366 | |
| 3 | 2012 | 136 | |
| 4 | 2017 | 110 | |
| 5 | 2010 | 84 | |
| 6 | 2007 | 57 | |
| 7 | 2004 | 53 | |
| 8 | 2012 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2008 | 4 | |
| 11 | 2010 | 3 | |
| 12 | Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis | 2021 | 2 |
| 13 | 2013 | 2 | |
| 14 | 2005 | 2 | |
| 15 | 2009 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2005 | 1 | |
| 18 | 2013 | 1 | |
| 19 | 2023 | 0 |
About Ryan Prenger
Ryan Prenger is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Visual perception and processing mechanisms (5 papers), Speech Recognition and Synthesis (3 papers), Anomaly Detection Techniques and Applications (2 papers), Natural Language Processing Techniques (2 papers), Face Recognition and Perception (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Biophysics (105 citations), Signal Processing (172 citations), Computer Vision and Pattern Recognition (302 citations) and Artificial Intelligence (310 citations). Ryan Prenger has collaborated with scholars based in United States, Hong Kong and Italy. Frequent co-authors include Jack L. Gallant, Kendrick Kay, Thomas Naselaris, Michael Oliver, Brian Van Essen, Maya Gokhale, Ben D. B. Willmore, Stephen V. David, Andrew Gibiansky and Joel Hestness. Their work appears in journals such as Journal of Vision, IEEE Transactions on Knowledge and Data Engineering, Journal of Neuroscience, Neural Networks and Human Brain Mapping.
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.