Michael Proctor

1.6k citations
76 papers · 975 indexed · h-index 18

Michael Proctor

70 papers receiving 880 citations

Peers

Michael Proctor
Comparison fields: 5 of 95
  • Linguistics and Language 228
  • Experimental and Cognitive Psychology 575
  • Signal Processing 331
  • Artificial Intelligence 427
  • Language and Linguistics 79
Replace Katherine Haker with:
Katherine Haker United States
Erik Bresch United States
Suzanne Boyce United States
Khalil Iskarous United States
Philip Hoole Germany
Shinji Maeda France
Christine H. Shadle United States
Michel T. T. Jackson United States
Joanne Cleland United Kingdom
Fred D. Minifie United States
Michael Proctor relative to Katherine Haker United States Katherine Haker's profile →
Citations per field
00.5×12.3×
Katherine Haker · 1×
Citations per year

Countries citing papers authored by Michael Proctor

Since Specialization
Citations

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

Fields of papers citing papers by Michael Proctor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20230
3 20214
4 20211
5 20213
6 201837
7
Production and perception of length contrast in lateral-final rimes
20182
8 201618
9
Preliminary investigations into the Australian English articulatory vowel space
20161
10 2014112
11 201333
12 201230
13 20126
14 20125
15 201127
16 201161
17 201148
18 20112
19 201149
20 19921

About Michael Proctor

Michael Proctor is a scholar working on Linguistics and Language, Experimental and Cognitive Psychology and Signal Processing, having authored 76 papers that have together received 975 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (65 papers), Speech Recognition and Synthesis (38 papers), Linguistic Variation and Morphology (28 papers), Speech and Audio Processing (17 papers), Voice and Speech Disorders (9 papers), Syntax, Semantics, Linguistic Variation (6 papers), Music and Audio Processing (5 papers) and Neurobiology of Language and Bilingualism (5 papers). The work is most often cited by research in Linguistics and Language (228 citations), Experimental and Cognitive Psychology (575 citations) and Signal Processing (331 citations). Michael Proctor has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Shrikanth Narayanan, Khalil Iskarous, Louis Goldstein, Christine H. Shadle, Adam Lammert, Krishna S. Nayak, Athanasios Katsamanis, Shrikanth Narayanan, Vikram Ramanarayanan and Yoon‐Chul Kim. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Speech Language and Hearing Research, Journal of Phonetics, Intensive and Critical Care Nursing and Journal of the International Phonetic Association.

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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