Shawn Hershey
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
- Developmental Biology top 5%
Papers in
-
- Music and Audio Processing 5
- Speech and Audio Processing 4
-
- Digital Media Forensic Detection 1
- Music Technology and Sound Studies 1
- Co-authors
- Aren Jansen (5 shared papers)Manoj Plakal (4 shared papers)Daniel P. W. Ellis (3 shared papers)Robert C. Moore (3 shared papers)Rif A. Saurous (3 shared papers)Sourish Chaudhuri (1 shared paper)Malcolm Slaney (1 shared paper)Jort F. Gemmeke (1 shared paper)
- Journals
- IEEE Signal Processing Letters (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Shawn Hershey
5 papers receiving 1.5k citations
Shawn Hershey's Hit Papers
Peers
Comparison fields: 5 of 111
- Signal Processing 982
- Developmental Biology 98
- Computer Vision and Pattern Recognition 683
- Artificial Intelligence 453
- Experimental and Cognitive Psychology 154
Countries citing papers authored by Shawn Hershey
This map shows the geographic impact of Shawn Hershey'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 Shawn Hershey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Hershey more than expected).
Fields of papers citing papers by Shawn Hershey
This network shows the impact of papers produced by Shawn Hershey. 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 Shawn Hershey. The network helps show where Shawn Hershey may publish in the future.
Co-authors
The 18 scholars most cited alongside Shawn Hershey, 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 | 1491 |
| 2 | 2018 | 58 | |
| 3 | 2020 | 10 | |
| 4 | Towards Learning Semantic Audio Representations from Unlabeled Data | 2017 | 5 |
| 5 | Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds | 2021 | 2 |
About Shawn Hershey
Shawn Hershey is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music and Infectious Diseases, having authored 5 papers that have together received 1.6k indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (2 papers), Diverse Musicological Studies (1 paper), Natural Language Processing Techniques (1 paper), Digital Media Forensic Detection (1 paper) and Music Technology and Sound Studies (1 paper). The work is most often cited by research in Signal Processing (982 citations), Developmental Biology (98 citations), Computer Vision and Pattern Recognition (683 citations), Artificial Intelligence (453 citations) and Experimental and Cognitive Psychology (154 citations). Shawn Hershey has collaborated with scholars based in United States and Spain. Frequent co-authors include Aren Jansen, Manoj Plakal, Daniel P. W. Ellis, Robert C. Moore, Rif A. Saurous, Sourish Chaudhuri, Malcolm Slaney, Jort F. Gemmeke, Ron J. Weiss and Kevin Wilson. Their work appears in journals such as IEEE Signal Processing Letters and arXiv (Cornell University).
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.