Shawn Hershey

2.6k citations
5 papers · 1.5k indexed · 1 hit paper · h-index 4
Topics
Music and Audio Processing (5 papers)Speech and Audio Processing (4 papers)Speech Recognition and Synthesis (2 papers)
Journals
IEEE Signal Processing LettersarXiv (Cornell University)
Partner nations
United StatesSpain

In The Last Decade

Shawn Hershey

5 papers receiving 1.4k citations

Hit Papers

CNN architectures for large-scale audio classification201720262020202320174008001.2k

Peers

Shawn Hershey
Comparison fields: 5 of 112
  • Signal Processing 967
  • Computer Vision and Pattern Recognition 664
  • Artificial Intelligence 442
  • Experimental and Cognitive Psychology 152
  • Cognitive Neuroscience 122
Replace Sourish Chaudhuri with:
Sourish Chaudhuri United States
Marvin Ritter United States
Eric Battenberg United States
Matt McVicar United Kingdom
Qiuqiang Kong United Kingdom
Dan Ellis United States
Zhiyao Duan United States
Rif A. Saurous United States
Oriol Nieto United States
Θεόδωρος Γιαννακόπουλος Greece
Shawn Hershey relative to Sourish Chaudhuri United States Sourish Chaudhuri's profile →
Citations per field
00.5×1.5×
Sourish Chaudhuri · 1×
Citations per year

Countries citing papers authored by Shawn Hershey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shawn Hershey

This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Hershey. A scholar is included among the top collaborators of Shawn Hershey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shawn Hershey. Shawn Hershey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
2
2 10
3 58
4
CNN architectures for large-scale audio classificationbreakdown →
1432
5
Towards Learning Semantic Audio Representations from Unlabeled Data
5

About Shawn Hershey

Shawn Hershey is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 1.5k indexed citations. Recurring topics across this work include Music and Audio Processing (5 papers), Speech and Audio Processing (4 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Signal Processing (967 citations), Developmental Biology (94 citations) and Computer Vision and Pattern Recognition (664 citations). Shawn Hershey has collaborated with scholars based in United States and Spain. Frequent co-authors include Manoj Plakal, Aren Jansen, Daniel P. W. Ellis, Robert C. Moore, Rif A. Saurous, Bryan Seybold, Jort F. Gemmeke, Malcolm Slaney, Kevin Wilson and Sourish Chaudhuri. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026