Mark Huckvale

91 papers receiving 1.1k citations

Peers

Mark Huckvale
Comparison fields: 5 of 93
  • Experimental and Cognitive Psychology 440
  • Signal Processing 293
  • Applied Psychology 130
  • Psychiatry and Mental health 282
  • Cognitive Neuroscience 289
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Heidi Christensen United Kingdom
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Citations per year

Countries citing papers authored by Mark Huckvale

Since Specialization
Citations

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

Fields of papers citing papers by Mark Huckvale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017248
2 2013128
3 201390
4
EUROM-A Spoken Language Resource for the EU
199572
5 201137
6 200037
7 202132
8 201230
9 199530
10 200426
11 200223
12
Facilities to assist people to research into stammered speech.
200423
13
Spoken Language Conversion with Accent Morphing
200722
14
The Reliability of the ITU-P.85 Standard for the Evaluation of Text-to-Speech Systems
200221
15 201019
16 202417
17 202116
18 201316
19 200116
20 198714

About Mark Huckvale

Mark Huckvale is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Cognitive Neuroscience and Biomedical Engineering, having authored 97 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (37 papers), Speech and Audio Processing (30 papers), Phonetics and Phonology Research (29 papers), Hearing Loss and Rehabilitation (17 papers), Speech and dialogue systems (16 papers), Psychosomatic Disorders and Their Treatments (8 papers), Acoustic Wave Phenomena Research (7 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Experimental and Cognitive Psychology (440 citations), Signal Processing (293 citations), Applied Psychology (130 citations), Psychiatry and Mental health (282 citations) and Cognitive Neuroscience (289 citations). Mark Huckvale has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Julian Leff, Alexander Leff, Geoffrey C. Williams, Thomas Ward, Philippa Garety, Mar Rus‐Calafell, Tom Craig, Richard Emsley, Elizabeth Howarth and Peter Howell. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Speech & Language, Nature Medicine, Frontiers in Psychiatry and Frontiers in Bioengineering and Biotechnology.

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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