John Kane

1.5k citations
33 papers · 1.1k · 1 hit paper · h-index 15

Impact in

Papers in

John Kane

32 papers receiving 992 citations

John Kane's Hit Papers

COVAREP — A collaborative voice analysis repository for speech technologies 2014 · 429 citations
4290+4+8Years since publication100200300400

Peers

John Kane
Comparison fields: 5 of 92
  • Signal Processing 408
  • Experimental and Cognitive Psychology 484
  • Artificial Intelligence 698
  • Physiology 212
  • Computational Mathematics 4
Replace Tuomo Raitio with:
Tuomo Raitio Finland
Thomas Drugman Belgium
Vikram Ramanarayanan United States
Christer Gobl Ireland
Gilles Degottex Greece
Olov Engwall Sweden
Athanasios Katsamanis Greece
Shrikanth Narayanan United States
John-Paul Hosom United States
Florian Hönig Germany
John Kane relative to Tuomo Raitio Finland Tuomo Raitio's profile →
Citations per field
00.5×1.5×
Tuomo Raitio · 1×
Citations per year

Countries citing papers authored by John Kane

Since Specialization
Citations

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

Fields of papers citing papers by John Kane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Kane, 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 John Kane Line = papers co-authored together John Kane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVAREP — A collaborative voice analysis repository for speech technologies
Hit paper breakdown →
2014429
2
European Signal Processing Conference
201491
3 201363
4 201251
5 201151
6 201443
7 201241
8 201233
9 201427
10 201922
11 201220
12 201219
13 201216
14
An audiovisual political speech analysis incorporating eye-tracking and perception data
201215
15 201215
16 201314
17 201013
18 201313
19 201313
20 201312

About John Kane

John Kane is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Physiology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (20 papers), Phonetics and Phonology Research (12 papers), Music and Audio Processing (10 papers), Voice and Speech Disorders (9 papers), Linguistic Variation and Morphology (3 papers), Emotion and Mood Recognition (2 papers) and Subtitles and Audiovisual Media (1 paper). The work is most often cited by research in Signal Processing (408 citations), Experimental and Cognitive Psychology (484 citations), Artificial Intelligence (698 citations), Physiology (212 citations) and Computational Mathematics (4 citations). John Kane has collaborated with scholars based in Ireland, Belgium and United States. Frequent co-authors include Christer Gobl, Thomas Drugman, Stefan Scherer, Tuomo Raitio, Gilles Degottex, Antti Suni, Paavo Alku, Martti Vainio, Simon King and Friedhelm Schwenker. Their work appears in journals such as Computer Speech & Language, Speech Communication, Language Resources and Evaluation, IEEE Transactions on Audio Speech and Language Processing and Trinity's Access to Research Output (TARA) (Trinity College Dublin).

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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