John Laver

51 papers receiving 1.9k citations

John Laver's Hit Papers

The phonetic description of voice quality 1980 · 711 citations
7110+15+30Years since publication200400600

Peers

John Laver
Comparison fields: 5 of 113
  • Linguistics and Language 470
  • Experimental and Cognitive Psychology 1.2k
  • Language and Linguistics 396
  • Signal Processing 276
  • Artificial Intelligence 710
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Countries citing papers authored by John Laver

Since Specialization
Citations

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

Fields of papers citing papers by John Laver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The phonetic description of voice quality
Hit paper breakdown →
1980711
2 1994488
3 1968167
4 201697
5 201486
6 201371
7 201571
8 196868
9 201561
10 199256
11 201749
12 201741
13 202035
14 197829
15 199327
16
The gift of speech
199124
17
The Gift of Speech: Readings in the Analysis of Speech and Voice
199720
18
The Handbook of Phonetic Sciences, 2nd Edition
201019
19 198618
20
Communication in face to face interaction: selected readings;
197216

About John Laver

John Laver is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Molecular Biology, Signal Processing and Physiology, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (17 papers), Speech Recognition and Synthesis (11 papers), RNA Research and Splicing (7 papers), Voice and Speech Disorders (6 papers), Speech and Audio Processing (6 papers), Speech and dialogue systems (5 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Linguistics and Language (470 citations), Experimental and Cognitive Psychology (1.2k citations), Language and Linguistics (396 citations), Signal Processing (276 citations) and Artificial Intelligence (710 citations). John Laver has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Donald S. Boomer, Howard D. Lipshitz, Craig A. Smibert, Steven Hiller, J. Timothy Westwood, Quaid Morris, Janet Mackenzie Beck, Xiao Li, Sachdev S. Sidhu and Mervyn Jack. Their work appears in journals such as Speech Communication, Journal of the International Phonetic Association, Journal of Phonetics, The Journal of the Acoustical Society of America and International Journal of Language & Communication Disorders.

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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