Eric J. Humphrey

1.5k citations
25 papers · 856 indexed · h-index 13
Topics
Music and Audio Processing (23 papers)Music Technology and Sound Studies (18 papers)Speech and Audio Processing (11 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

Eric J. Humphrey

24 papers receiving 779 citations

Peers

Eric J. Humphrey
Comparison fields: 5 of 69
  • Signal Processing 767
  • Computer Vision and Pattern Recognition 446
  • Artificial Intelligence 224
  • Cognitive Neuroscience 130
  • Music 68
Replace Sebastian Ewert with:
Sebastian Ewert Germany
Slim Essid France
Jordi Pons Spain
Eric D. Scheirer United States
Jordi Bonada Spain
Antti Eronen Finland
Jen-Yu Liu Taiwan
Giambattista Parascandolo Finland
Ryuichi Oka Japan
Zekeriya TÜFEKCİ Türkiye
Eric J. Humphrey relative to Sebastian Ewert Germany Sebastian Ewert's profile →
Citations per field
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Sebastian Ewert · 1×
Citations per year

Countries citing papers authored by Eric J. Humphrey

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Eric J. Humphrey

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Humphrey. A scholar is included among the top collaborators of Eric J. Humphrey 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 Eric J. Humphrey. Eric J. Humphrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 26
3 4
4 12
5 191
6 5
7
PySOX: Leveraging the Audio Signal Processing Power of SOX in Python
12
8 19
9 52
10 190
11 22
12 14
13 1
14 3
15 74
16 33
17 67
18 9
19 1
20 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) and Speech and Audio Processing (11 papers). 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.

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