Bryan Pardo

3.4k citations
127 papers · 1.9k indexed · h-index 25

Bryan Pardo

124 papers receiving 1.7k citations

Peers

Bryan Pardo
Comparison fields: 5 of 94
  • Signal Processing 1.5k
  • Computer Vision and Pattern Recognition 943
  • Music 49
  • Cognitive Neuroscience 283
  • Management Information Systems 117
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Paul Lamere United States
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Citations per field
00.5×10×15×20×23.4×
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Citations per year

Countries citing papers authored by Bryan Pardo

Since Specialization
Citations

This map shows the geographic impact of Bryan Pardo'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 Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Pardo more than expected).

Fields of papers citing papers by Bryan Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Pardo. 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 Pardo. The network helps show where Bryan Pardo may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Bryan Pardo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan Pardo Line = papers co-authored together Bryan Pardo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20242
5 20222
6 20202
7 20193
8 20147
9 20142
10 20147
11
Making searchable melodies: human versus machine
20112
12 20116
13
Streaming from MIDI using constraint satisfaction optimization and sequence alignment
20096
14
Rapid Learning of Subjective Preference in Equalization
20083
15 200615
16 200515
17
Query by Humming: How good can it get?
200311
18 200345
19
Improved Score Following for Acoustic Performances
200210
20
Effect of Emphasis and Irritation on Jaw Opening
19984

About Bryan Pardo

Bryan Pardo is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Artificial Intelligence and Computer Science Applications, having authored 127 papers that have together received 1.9k indexed citations. Recurring topics across this work include Music and Audio Processing (100 papers), Speech and Audio Processing (74 papers), Music Technology and Sound Studies (58 papers), Blind Source Separation Techniques (19 papers), Speech Recognition and Synthesis (15 papers), Advanced Adaptive Filtering Techniques (7 papers), Hearing Loss and Rehabilitation (7 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Vision and Pattern Recognition (943 citations), Music (49 citations), Cognitive Neuroscience (283 citations) and Management Information Systems (117 citations). Bryan Pardo has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Zafar Rafii, William P. Birmingham, Zhiyao Duan, Mark Cartwright, Bongjun Kim, Prem Seetharaman, Michael D. Greenberg, Elizabeth M. Gerber, Changshui Zhang and Roger B. Dannenberg. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Magazine, Communications of the ACM, Computer Music Journal and IEEE Transactions on Audio Speech and Language Processing.

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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