Brian Whitman
Impact in
- Signal Processing top 0.5%
- Music and Audio Processing
- Speech and Audio Processing
-
- Music Technology and Sound Studies
- Video Analysis and Summarization
Papers in
-
- Music and Audio Processing 19
- Speech and Audio Processing 7
-
- Music Technology and Sound Studies 14
- Co-authors
- Daniel P. W. Ellis (8 shared papers)Paul Lamere (3 shared papers)Thierry Bertin-Mahieux (1 shared paper)Adam Berenzweig (3 shared papers)Steve Lawrence (2 shared papers)Beth Logan (2 shared papers)Paris Smaragdis (1 shared paper)Sandra Lawrence (1 shared paper)
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Computer Music Journal (1 paper)JACC. Cardiovascular imaging (1 paper)Columbia Academic Commons (Columbia University) (6 papers)Project Muse (Johns Hopkins University) (1 paper)
- Partner nations
- United StatesFinlandCanada
In The Last Decade
Brian Whitman
23 papers receiving 1.0k citations
Brian Whitman's Hit Papers
Peers
Comparison fields: 5 of 85
- Signal Processing 877
- Computer Vision and Pattern Recognition 723
- Music 79
- Artificial Intelligence 354
- Cognitive Neuroscience 141
Countries citing papers authored by Brian Whitman
This map shows the geographic impact of Brian Whitman'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 Brian Whitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Whitman more than expected).
Fields of papers citing papers by Brian Whitman
This network shows the impact of papers produced by Brian Whitman. 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 Brian Whitman. The network helps show where Brian Whitman may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Whitman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Million Song Dataset Hit paper breakdown → | 2011 | 444 |
| 2 | 2004 | 189 | |
| 3 | 2002 | 104 | |
| 4 | Inferring Descriptions and Similarity for Music from Community Metadata | 2002 | 79 |
| 5 | 2002 | 65 | |
| 6 | 2003 | 54 | |
| 7 | 2002 | 53 | |
| 8 | 2004 | 50 | |
| 9 | 2016 | 38 | |
| 10 | 2004 | 32 | |
| 11 | 2014 | 20 | |
| 12 | 2001 | 10 | |
| 13 | 2011 | 10 | |
| 14 | 2003 | 8 | |
| 15 | 2010 | 7 | |
| 16 | 2004 | 6 | |
| 17 | 2000 | 5 | |
| 18 | 2010 | 3 | |
| 19 | 2006 | 3 | |
| 20 | MUSICALLY EXPRESSIVE SOUND TEXTURES FROM GENERALIZED AUDIO | 2003 | 3 |
About Brian Whitman
Brian Whitman is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music and Cognitive Neuroscience, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music and Audio Processing (19 papers), Music Technology and Sound Studies (14 papers), Speech and Audio Processing (7 papers), Diverse Musicological Studies (5 papers), Speech Recognition and Synthesis (3 papers), Advanced Text Analysis Techniques (2 papers), Natural Language Processing Techniques (2 papers) and Neuroscience and Music Perception (2 papers). The work is most often cited by research in Signal Processing (877 citations), Computer Vision and Pattern Recognition (723 citations), Music (79 citations), Artificial Intelligence (354 citations) and Cognitive Neuroscience (141 citations). Brian Whitman has collaborated with scholars based in United States, Finland and Canada. Frequent co-authors include Daniel P. W. Ellis, Paul Lamere, Thierry Bertin-Mahieux, Adam Berenzweig, Steve Lawrence, Beth Logan, Paris Smaragdis, Sandra Lawrence, Gary William Flake and Ryan Rifkin. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, Computer Music Journal, JACC. Cardiovascular imaging, Columbia Academic Commons (Columbia University) and Project Muse (Johns Hopkins 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.