Bryan Seybold
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
- Developmental Biology top 2%
Papers in ⓘ
- Music 1
-
- Neural dynamics and brain function 5
- Co-authors
- Robert C. Moore (1 shared paper)Manoj Plakal (1 shared paper)Kevin Wilson (1 shared paper)Shawn Hershey (1 shared paper)Sourish Chaudhuri (1 shared paper)Jort F. Gemmeke (1 shared paper)Ron J. Weiss (1 shared paper)Rif A. Saurous (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Scientific Reports (1 paper)Nature Neuroscience (1 paper)Neuron (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Bryan Seybold
11 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Signal Processing 908
- Developmental Biology 101
- Computer Vision and Pattern Recognition 640
- Cognitive Neuroscience 383
- Artificial Intelligence 418
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 | 1432 |
| 2 | 2012 | 158 | |
| 3 | 2008 | 76 | |
| 4 | 2015 | 69 | |
| 5 | 2015 | 48 | |
| 6 | 2012 | 26 | |
| 7 | 2016 | 18 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 | |
| 10 | Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems | 2020 | 1 |
| 11 | Self-Supervised Learning of Structure and Motion from Video | 2017 | 1 |
About Bryan Seybold
Bryan Seybold is a scholar working on Music, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition and Signal Processing, having authored 11 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Human Pose and Action Recognition (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Advanced Vision and Imaging (2 papers), Speech and Audio Processing (1 paper), Video Surveillance and Tracking Methods (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (908 citations), Developmental Biology (101 citations), Computer Vision and Pattern Recognition (640 citations), Cognitive Neuroscience (383 citations) and Artificial Intelligence (418 citations). Bryan Seybold has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Robert C. Moore, Manoj Plakal, Kevin Wilson, Shawn Hershey, Sourish Chaudhuri, Jort F. Gemmeke, Ron J. Weiss, Rif A. Saurous, Daniel P. W. Ellis and Aren Jansen. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, Nature Neuroscience, Neuron and Proceedings of the National Academy of Sciences.
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.