Michael Proctor

58 papers receiving 959 citations

Peers

Michael Proctor
Comparison fields: 5 of 59
  • Experimental and Cognitive Psychology 720
  • Signal Processing 80
  • Physiology 167
  • Computer Vision and Pattern Recognition 99
  • Radiology, Nuclear Medicine and Imaging 85
Replace Shinji Maeda with:
Shinji Maeda France
Khalil Iskarous United States
Christine H. Shadle United States
Michel T. T. Jackson United States
Simone Hantke Germany
Tamás Grósz Hungary
Anna Polychroniou United Kingdom
Majid Zandipour United States
Tatsuya Kitamura Japan
Phil Hoole Germany
Michael Proctor relative to Shinji Maeda France Shinji Maeda's profile →
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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-authors

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

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014129
2 201162
3
Gestural Characterization of a Phonological Class: The Liquids.
200961
4 201058
5 201157
6 201153
7 201045
8 201843
9 201342
10 201037
11 201336
12 201333
13 201131
14 201231
15 201327
16 201124
17 201621
18 201920
19 201319
20 201718

About Michael Proctor

Michael Proctor is a scholar working on Experimental and Cognitive Psychology, Physiology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Phonetics and Phonology Research (54 papers), Voice and Speech Disorders (12 papers), Advanced MRI Techniques and Applications (4 papers), Medical Image Segmentation Techniques (3 papers), Neurobiology of Language and Bilingualism (3 papers), Linguistics and language evolution (2 papers), Statistical Methods and Bayesian Inference (1 paper) and Psychology Research and Bibliometrics (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (720 citations), Signal Processing (80 citations), Physiology (167 citations), Computer Vision and Pattern Recognition (99 citations) and Radiology, Nuclear Medicine and Imaging (85 citations). Michael Proctor has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Shrikanth Shri Narayanan, Adam C. Lammert, Khalil Iskarous, Louis M. Goldstein, Christine H. Shadle, Krishna S. Nayak, Athanasios Katsamanis, Vikram Ramanarayanan, Yoon‐Chul Kim and Erik Bresch. 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, Australian Journal of Linguistics 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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