Jon Barker

8.9k citations
175 papers · 6.6k · 2 hit papers · h-index 37

Impact in

Papers in

Jon Barker

169 papers receiving 6.1k citations

Jon Barker's Hit Papers

The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines 2015 · 487 citations
4870+6+13Years since publication250500750

Peers

Jon Barker
Comparison fields: 5 of 124
  • Signal Processing 4.0k
  • Artificial Intelligence 2.5k
  • Cognitive Neuroscience 878
  • Condensed Matter Physics 540
  • Computational Mechanics 793
Replace Keisuke Kinoshita with:
Keisuke Kinoshita Japan
TORU T. TAKAHASHI Japan
Jan Van der Spiegel United States
David A. van Leeuwen Netherlands
Gerard Ben Assayag France
Katharina Krischer Germany
Liang Lu China
Omid Kavehei Australia
Kazutoshi Takahashi Japan
Robert Forchheimer Sweden
Jon Barker relative to Keisuke Kinoshita Japan Keisuke Kinoshita's profile →
Citations per field
00.5×5×10×15.4×
Keisuke Kinoshita · 1×
Citations per year

Countries citing papers authored by Jon Barker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 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 →
2006858
2
The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines
Hit paper breakdown →
2015487
3 2000407
4 2016261
5 2003242
6 2013230
7 2018209
8 2002194
9 2020193
10 2008191
11 2012177
12 2000147
13 2015109
14 2004105
15 2018103
16 2010103
17 2000100
18 200193
19 200291
20 201683

About Jon Barker

Jon Barker is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology and Condensed Matter Physics, having authored 175 papers that have together received 6.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (112 papers), Speech Recognition and Synthesis (77 papers), Music and Audio Processing (56 papers), Hearing Loss and Rehabilitation (35 papers), Blind Source Separation Techniques (14 papers), Semiconductor Quantum Structures and Devices (11 papers), Voice and Speech Disorders (11 papers) and Advanced Adaptive Filtering Techniques (10 papers). The work is most often cited by research in Signal Processing (4.0k citations), Artificial Intelligence (2.5k citations), Cognitive Neuroscience (878 citations), Condensed Matter Physics (540 citations) and Computational Mechanics (793 citations). Jon Barker has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Martin P. Cooke, Emmanuel Vincent, Shinji Watanabe, Xu Shao, Ricard Marxer, Stuart P. Cunningham, Heidi Christensen, Eoin P. O’Reilly, Phil Green and Neil C. Greenham. Their work appears in journals such as Speech Communication, Computer Speech & Language, Physical review. B., The Journal of the Acoustical Society of America 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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