Bryan Seybold
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
- Developmental Biology top 2%
Papers in
-
- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 2
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 2
-
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Malcolm Slaney (1 shared paper)Robert C. Moore (1 shared paper)Aren Jansen (1 shared paper)Ron J. Weiss (1 shared paper)Kevin Wilson (1 shared paper)Sourish Chaudhuri (1 shared paper)Jort F. Gemmeke (1 shared paper)Manoj Plakal (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Neuron (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesGermanyPortugal
In The Last Decade
Bryan Seybold
13 papers receiving 2.1k citations
Bryan Seybold's Hit Papers
Peers
Comparison fields: 5 of 127
- Signal Processing 1.0k
- Developmental Biology 112
- Computer Vision and Pattern Recognition 861
- Cognitive Neuroscience 411
- Artificial Intelligence 493
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 | 1626 |
| 2 | 2012 | 165 | |
| 3 | 2018 | 110 | |
| 4 | 2008 | 80 | |
| 5 | 2015 | 76 | |
| 6 | 2015 | 52 | |
| 7 | 2022 | 37 | |
| 8 | 2012 | 28 | |
| 9 | 2016 | 19 | |
| 10 | 2022 | 4 | |
| 11 | Self-Supervised Learning of Structure and Motion from Video | 2017 | 3 |
| 12 | 2023 | 2 | |
| 13 | Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | 2020 | 1 |
About Bryan Seybold
Bryan Seybold is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Signal Processing and Molecular Biology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Vision and Imaging (2 papers), Music and Audio Processing (2 papers), Video Analysis and Summarization (2 papers), Video Surveillance and Tracking Methods (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Signal Processing (1.0k citations), Developmental Biology (112 citations), Computer Vision and Pattern Recognition (861 citations), Cognitive Neuroscience (411 citations) and Artificial Intelligence (493 citations). Bryan Seybold has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Malcolm Slaney, Robert C. Moore, Aren Jansen, Ron J. Weiss, Kevin Wilson, Sourish Chaudhuri, Jort F. Gemmeke, Manoj Plakal, Daniel P. W. Ellis and Rif A. Saurous. Their work appears in journals such as Journal of Neuroscience, Neuron, Scientific Reports, Proceedings of the National Academy of Sciences and Nature Neuroscience.
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.