Jon Barker
Impact in
- Signal Processing top 0.1%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Artificial Intelligence top 0.5%
- Speech Recognition and Synthesis
Papers in
-
- Speech and Audio Processing 106
- Music and Audio Processing 51
- Blind Source Separation Techniques 14
-
- Speech Recognition and Synthesis 70
- Co-authors
- Martin Cooke (20 shared papers)Xu Shao (5 shared papers)Stuart Cunningham (1 shared paper)Emmanuel Vincent (8 shared papers)Heidi Christensen (23 shared papers)Phil Green (13 shared papers)Ning Ma (28 shared papers)Shinji Watanabe (6 shared papers)
- Journals
- Speech Communication (9 papers)The Journal of the Acoustical Society of America (8 papers)Computer Speech & Language (8 papers)IEEE Transactions on Audio Speech and Language Processing (4 papers)Data in Brief (2 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Jon Barker
126 papers receiving 3.0k citations
Jon Barker's Hit Papers
Peers
Comparison fields: 5 of 93
- Signal Processing 2.8k
- Artificial Intelligence 1.6k
- Cognitive Neuroscience 742
- Experimental and Cognitive Psychology 330
- Computational Mechanics 537
Countries citing papers authored by Jon Barker
This map shows the geographic impact of Jon Barker'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 Jon Barker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Barker more than expected).
Fields of papers citing papers by Jon Barker
This network shows the impact of papers produced by Jon Barker. 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 Jon Barker. The network helps show where Jon Barker may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Barker, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An audio-visual corpus for speech perception and automatic speech recognition Hit paper breakdown → | 2006 | 761 |
| 2 | 2016 | 235 | |
| 3 | 2013 | 196 | |
| 4 | 2008 | 182 | |
| 5 | 2012 | 155 | |
| 6 | 2004 | 96 | |
| 7 | 2000 | 95 | |
| 8 | 2001 | 89 | |
| 9 | 2010 | 87 | |
| 10 | 2016 | 73 | |
| 11 | 2006 | 71 | |
| 12 | 2018 | 59 | |
| 13 | 2019 | 59 | |
| 14 | 2020 | 50 | |
| 15 | 2004 | 47 | |
| 16 | 2015 | 47 | |
| 17 | 2021 | 45 | |
| 18 | 2005 | 45 | |
| 19 | 2013 | 44 | |
| 20 | 2007 | 39 |
About Jon Barker
Jon Barker is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computational Mechanics and Experimental and Cognitive Psychology, having authored 131 papers that have together received 3.4k indexed citations. Recurring topics across this work include Speech and Audio Processing (106 papers), Speech Recognition and Synthesis (70 papers), Music and Audio Processing (51 papers), Hearing Loss and Rehabilitation (34 papers), Blind Source Separation Techniques (14 papers), Advanced Adaptive Filtering Techniques (9 papers), Voice and Speech Disorders (9 papers) and Noise Effects and Management (8 papers). The work is most often cited by research in Signal Processing (2.8k citations), Artificial Intelligence (1.6k citations), Cognitive Neuroscience (742 citations), Experimental and Cognitive Psychology (330 citations) and Computational Mechanics (537 citations). Jon Barker has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Martin Cooke, Xu Shao, Stuart Cunningham, Emmanuel Vincent, Heidi Christensen, Phil Green, Ning Ma, Shinji Watanabe, Ricard Marxer and María Luisa García Lecumberri. Their work appears in journals such as Speech Communication, The Journal of the Acoustical Society of America, Computer Speech & Language, IEEE Transactions on Audio Speech and Language Processing and Data in Brief.
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.