Joan E. Miller

889 citations
22 papers · 616 indexed · h-index 9

Impact in

    • Music and Audio Processing
    • Speech and Audio Processing
    • Visual perception and processing mechanisms
    • Neuroscience and Music Perception
    • Neural dynamics and brain function

Papers in

    • Diverse Musicological Studies 4
    • Speech and Audio Processing 4
    • Music and Audio Processing 4

Joan E. Miller

19 papers receiving 478 citations

Peers

Joan E. Miller
Comparison fields: 5 of 86
  • Signal Processing 236
  • Cognitive Neuroscience 281
  • Computer Vision and Pattern Recognition 263
  • Music 18
  • Experimental and Cognitive Psychology 72
Replace Jean‐Claude Risset with:
Jean‐Claude Risset France
Robert Hamilton United States
Lonce Wyse Singapore
Mark Dolson United States
Chris Chafe United States
Ali Momeni United States
Haruhiro Katayose Japan
Jeroen Breebaart Netherlands
Matthias Frank Austria
Gerard Roma United Kingdom
Joan E. Miller relative to Jean‐Claude Risset France Jean‐Claude Risset's profile →
Citations per field
00.5×1.5×2.3×
Jean‐Claude Risset · 1×
Citations per year

Countries citing papers authored by Joan E. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Joan E. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan E. Miller. 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 Joan E. Miller. The network helps show where Joan E. Miller may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Joan E. Miller, 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 Joan E. Miller Line = papers co-authored together Joan E. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 19822
2 197914
3 19790
4 19773
5 19753
6 197072
7 19691
8
The technology of computer music
1969184
9 196512
10 19651
11 19653
12 196411
13 19636
14 196215
15 19621
16 19622
17 19614
18 196159
19 19601
20 19591

About Joan E. Miller

Joan E. Miller is a scholar working on Music, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 616 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (9 papers), Speech Recognition and Synthesis (8 papers), Music Technology and Sound Studies (7 papers), Speech and Audio Processing (4 papers), Music and Audio Processing (4 papers), Diverse Musicological Studies (4 papers), Voice and Speech Disorders (3 papers) and Speech and dialogue systems (1 paper). The work is most often cited by research in Signal Processing (236 citations), Cognitive Neuroscience (281 citations), Computer Vision and Pattern Recognition (263 citations), Music (18 citations) and Experimental and Cognitive Psychology (72 citations). Joan E. Miller has collaborated with scholars based in United States. Frequent co-authors include Béla Julesz, M. V. Mathews, John R. Pierce, Jean‐Claude Risset, Edward E. David, James G. Caya, Rashmi Agni, Lejaren Hiller, Osamu Fujimura and Henry Cowell. Their work appears in journals such as The Journal of the Acoustical Society of America, Archives of Pathology & Laboratory Medicine, Perception, Notes and Phonetica.

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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