Catherine Mayo

699 citations
19 papers · 526 indexed · h-index 13

Impact in

Papers in

Catherine Mayo

19 papers receiving 464 citations

Peers

Catherine Mayo
Comparison fields: 5 of 54
  • Signal Processing 267
  • Experimental and Cognitive Psychology 216
  • Cognitive Neuroscience 194
  • Linguistics and Language 37
  • Artificial Intelligence 242
Replace Hideki Banno with:
Hideki Banno Japan
Minoru Tsuzaki Japan
Judith M. Kessens Netherlands
Louis ten Bosch Netherlands
Christian Benoı̂t France
Reiner Wilhelms-Tricarico United States
A. W. F. Huggins United States
Christian E. Stilp United States
Vincent Aubanel France
David Talkin United States
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Citations per field
00.5×1.7×
Hideki Banno · 1×
Citations per year

Countries citing papers authored by Catherine Mayo

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Mayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Catherine Mayo, 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 Catherine Mayo Line = papers co-authored together Catherine Mayo links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20161
2 201428
3 201423
4 201338
5 201312
6 201382
7 20132
8 201226
9 20124
10 20125
11 201028
12 200812
13
Statistical analysis of the Blizzard Challenge 2007 listening test results
200761
14 200531
15 200525
16 200451
17
Is the development of cue weighting strategies in children's speech perception context-dependent?
20032
18 200367
19
Prosodic transcription of Glasgow English: an evaluation study of GlaToBI
199728

About Catherine Mayo

Catherine Mayo is a scholar working on Computational Mathematics, Experimental and Cognitive Psychology, Signal Processing, Cognitive Neuroscience and Linguistics and Language, having authored 19 papers that have together received 526 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (12 papers), Speech and Audio Processing (9 papers), Hearing Loss and Rehabilitation (9 papers), Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (2 papers), Multisensory perception and integration (2 papers), Language Development and Disorders (2 papers) and Linguistic Variation and Morphology (1 paper). The work is most often cited by research in Signal Processing (267 citations), Experimental and Cognitive Psychology (216 citations), Cognitive Neuroscience (194 citations), Linguistics and Language (37 citations) and Artificial Intelligence (242 citations). Catherine Mayo has collaborated with scholars based in United Kingdom, Spain and Greece. Frequent co-authors include Martin Cooke, Alice Turk, Simon King, Cassia Valentini-Botinhao, Robert A. Clark, James M. Scobbie, Nigel Hewlett, Yan Tang, Yannis Stylianou and Bastian Sauert. Their work appears in journals such as The Journal of the Acoustical Society of America, Speech Communication, Journal of Speech Language and Hearing Research, ERA and Edinburgh Research Explorer.

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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