Bryan Seybold
Impact in
- Signal Processing top 1%
- Music and Audio Processing
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
Papers in
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- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 2
- Advanced Vision and Imaging 1
- Video Surveillance and Tracking Methods 1
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- Neuroscience and Music Perception 1
- Neural dynamics and brain function 1
- Co-authors
- Jort Florent Gemmeke (1 shared paper)Malcolm Slaney (1 shared paper)Shawn Hershey (1 shared paper)Rif A. Saurous (1 shared paper)Aren Jansen (1 shared paper)Manoj Plakal (1 shared paper)Sourish Chaudhuri (1 shared paper)Daniel P. W. Ellis (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Neuron (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Neuroscience (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesGermanyPortugal
In The Last Decade
Bryan Seybold
14 papers receiving 3.0k citations
Bryan Seybold's Hit Papers
Peers
Comparison fields: 5 of 79
- Signal Processing 494
- Computer Vision and Pattern Recognition 937
- Experimental and Cognitive Psychology 189
- Cognitive Neuroscience 127
- Cellular and Molecular Neuroscience 79
Countries citing papers authored by Bryan Seybold
This map shows the geographic impact of Bryan Seybold'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 Bryan Seybold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Seybold more than expected).
Fields of papers citing papers by Bryan Seybold
This network shows the impact of papers produced by Bryan Seybold. 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 Bryan Seybold. The network helps show where Bryan Seybold may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Seybold, 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 | CNN architectures for large-scale audio classification Hit paper breakdown → | 2017 | 1805 |
| 2 | Rethinking the Faster R-CNN Architecture for Temporal Action Localization Hit paper breakdown → | 2018 | 571 |
| 3 | 2012 | 163 | |
| 4 | 2018 | 119 | |
| 5 | 2018 | 87 | |
| 6 | 2008 | 79 | |
| 7 | 2015 | 77 | |
| 8 | 2015 | 53 | |
| 9 | 2022 | 45 | |
| 10 | 2012 | 30 | |
| 11 | 2016 | 21 | |
| 12 | 2022 | 4 | |
| 13 | Self-Supervised Learning of Structure and Motion from Video | 2017 | 3 |
| 14 | 2023 | 1 |
About Bryan Seybold
Bryan Seybold is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Cellular and Molecular Neuroscience and Nuclear Energy and Engineering, having authored 14 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Multimodal Machine Learning Applications (2 papers), Music and Audio Processing (1 paper), Advanced Vision and Imaging (1 paper), Video Surveillance and Tracking Methods (1 paper), Neuroscience and Music Perception (1 paper), Neural dynamics and brain function (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Signal Processing (494 citations), Computer Vision and Pattern Recognition (937 citations), Experimental and Cognitive Psychology (189 citations), Cognitive Neuroscience (127 citations) and Cellular and Molecular Neuroscience (79 citations). Bryan Seybold has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Jort Florent Gemmeke, Malcolm Slaney, Shawn Hershey, Rif A. Saurous, Aren Jansen, Manoj Plakal, Sourish Chaudhuri, Daniel P. W. Ellis, Ron J. Weiss and Rahul Sukthankar. Their work appears in journals such as Journal of Neuroscience, Neuron, Proceedings of the National Academy of Sciences, Nature Neuroscience and Scientific Reports.
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.