John H. Esling

65 papers receiving 717 citations

Peers

John H. Esling
Comparison fields: 5 of 47
  • Linguistics and Language 385
  • Experimental and Cognitive Psychology 696
  • Language and Linguistics 202
  • Artificial Intelligence 393
  • Physiology 210
Replace Marija Tabain with:
Marija Tabain Australia
Agaath M. C. Sluijter Netherlands
Ewa Jacewicz United States
Francis Nolan United Kingdom
Volker Dellwo Switzerland
Marc Garellek United States
Matthew Gordon United States
James M. Scobbie United Kingdom
Mariapaola D’Imperio France
Ineke Mennen United Kingdom
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Citations per year

Countries citing papers authored by John H. Esling

Since Specialization
Citations

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

Fields of papers citing papers by John H. Esling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006129
2 200571
3 198363
4 199658
5 200542
6 201442
7 199941
8 197835
9 198427
10 201021
11 199520
12
The 'Whole Larynx' Approach to Laryngeal Features.
201120
13 201419
14
Seeing Speech: an articulatory web resource for the study of phonetics
201517
15 201216
16
THE LARYNGEAL ARTICULATOR: SOURCE AND RESONATOR
200716
17 201915
18 200314
19 200113
20 200612

About John H. Esling

John H. Esling is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Linguistics and Language, Physiology and Language and Linguistics, having authored 70 papers that have together received 887 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (57 papers), Linguistic Variation and Morphology (27 papers), Speech Recognition and Synthesis (25 papers), Voice and Speech Disorders (16 papers), Language Development and Disorders (5 papers), Syntax, Semantics, Linguistic Variation (5 papers), Linguistics and Cultural Studies (4 papers) and Linguistic Studies and Language Acquisition (2 papers). The work is most often cited by research in Linguistics and Language (385 citations), Experimental and Cognitive Psychology (696 citations), Language and Linguistics (202 citations), Artificial Intelligence (393 citations) and Physiology (210 citations). John H. Esling has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Jerold A. Edmondson, Scott R. Moisik, Lise Crevier‐Buchman, Chakir Zeroual, Martin J. Ball, John Downing, Ewa Czaykowska-Higgins, James M. Scobbie, Janet Mackenzie Beck and Satsuki Nakai. Their work appears in journals such as Journal of the International Phonetic Association, The Canadian Journal of Linguistics / La revue canadienne de linguistique, TESOL Quarterly, Logopedics Phoniatrics Vocology and Journal of Phonetics.

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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