Eric J. Humphrey
- Signal Processing top 0.5%
- Music and Audio Processing 23
- Speech and Audio Processing 11
- Music top 2%
- Diverse Musicological Studies 3
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- Music Technology and Sound Studies 18
- Image Processing and 3D Reconstruction 1
- Video Analysis and Summarization 1
- Developmental Biology top 10%
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 3
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- Neuroscience and Music Perception 6
- Co-authors
- Juan Pablo BelloBrian McFeeYann LeCunRachel BittnerOriol NietoAndreas JanssonAparna KumarNicola Montecchio
- Journals
- IEEE Signal Processing Magazine (1 paper)Computer Music Journal (1 paper)Journal of Intelligent Information Systems (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Eric J. Humphrey
24 papers receiving 779 citations
Peers
Comparison fields: 5 of 69
- Signal Processing 767
- Music 68
- Computer Vision and Pattern Recognition 446
- Developmental Biology 28
- Artificial Intelligence 224
Countries citing papers authored by Eric J. Humphrey
This map shows the geographic impact of Eric J. Humphrey'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 Eric J. Humphrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Humphrey more than expected).
Fields of papers citing papers by Eric J. Humphrey
This network shows the impact of papers produced by Eric J. Humphrey. 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 Eric J. Humphrey. The network helps show where Eric J. Humphrey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric J. Humphrey, 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 | 2018 | 23 | |
| 2 | 2018 | 26 | |
| 3 | 2017 | 4 | |
| 4 | 2017 | 12 | |
| 5 | 2017 | 191 | |
| 6 | 2016 | 5 | |
| 7 | PySOX: Leveraging the Audio Signal Processing Power of SOX in Python | 2016 | 12 |
| 8 | 2015 | 19 | |
| 9 | 2015 | 52 | |
| 10 | 2014 | 190 | |
| 11 | 2014 | 22 | |
| 12 | 2013 | 14 | |
| 13 | 2013 | 1 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 74 | |
| 16 | 2012 | 33 | |
| 17 | 2012 | 67 | |
| 18 | 2011 | 9 | |
| 19 | 2010 | 1 | |
| 20 | 1984 | 1 |
About Eric J. Humphrey
Eric J. Humphrey is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music, having authored 25 papers that have together received 856 indexed citations. Recurring topics across this work include Music and Audio Processing (23 papers), Music Technology and Sound Studies (18 papers), Speech and Audio Processing (11 papers), Neuroscience and Music Perception (6 papers), Diverse Musicological Studies (3 papers), Speech Recognition and Synthesis (3 papers), Image Processing and 3D Reconstruction (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Signal Processing (767 citations), Music (68 citations) and Computer Vision and Pattern Recognition (446 citations). Eric J. Humphrey has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Juan Pablo Bello, Brian McFee, Yann LeCun, Rachel Bittner, Oriol Nieto, Andreas Jansson, Aparna Kumar, Nicola Montecchio, Tillman Weyde and Justin Salamon. Their work appears in journals such as IEEE Signal Processing Magazine, Computer Music Journal and Journal of Intelligent Information Systems.
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.