M. V. Mathews

2.4k citations
81 papers · 1.5k indexed · h-index 22

Impact in

Papers in

M. V. Mathews

71 papers receiving 1.1k citations

Peers

M. V. Mathews
Comparison fields: 5 of 102
  • Signal Processing 914
  • Computer Vision and Pattern Recognition 758
  • Cognitive Neuroscience 509
  • Music 63
  • Experimental and Cognitive Psychology 237
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Joan E. Miller United States
Shigeki Sagayama Japan
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Citations per year

Countries citing papers authored by M. V. Mathews

Since Specialization
Citations

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

Fields of papers citing papers by M. V. Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. V. Mathews. 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 M. V. Mathews. The network helps show where M. V. Mathews may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
The ear and how it works
19992
3
The auditory brain
19998
4
The 1997 Mathews Radio-Baton and Improvisation Modes
199714
5
The Radio Baton Conductor score file
19970
6
My View of the Future of Real-Time Computer Music.
19922
7 199075
8
The Bohlen-Pierce scale
19895
9 19846
10
RTSKED, A Scheduled Performance Language for the Crumar General Development System
19811
11 19814
12 19775
13
Score Drawing Program
19672
14
A Graphical Language for Composing and Playing Sounds and Music
19661
15 19636
16 19621
17 19619
18 196111
19 196115
20 19602

About M. V. Mathews

M. V. Mathews is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Music, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 81 papers that have together received 1.5k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (37 papers), Music and Audio Processing (20 papers), Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (13 papers), Phonetics and Phonology Research (11 papers), Neuroscience and Music Perception (10 papers), Neural Networks and Applications (8 papers) and Diverse Musicological Studies (5 papers). The work is most often cited by research in Signal Processing (914 citations), Computer Vision and Pattern Recognition (758 citations), Cognitive Neuroscience (509 citations), Music (63 citations) and Experimental and Cognitive Psychology (237 citations). M. V. Mathews has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include John R. Pierce, Jean‐Claude Risset, Joan E. Miller, Bishnu S. Atal, John W. Tukey, Sandra Pruzansky, P. Denes, Edward E. David, Stephen Pope and Arthur Roberts. Their work appears in journals such as The Journal of the Acoustical Society of America, Computer Music Journal, Science, Physics Today and Journal of the Audio Engineering Society.

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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