Larry Polansky

797 citations
30 papers · 403 · h-index 7

Impact in

  • Music top 2%
    • Diverse Music Education Insights
    • Musicology and Musical Analysis
    • Music and Audio Processing

Papers in

Larry Polansky

22 papers receiving 312 citations

Peers

Larry Polansky
Comparison fields: 5 of 58
  • Music 85
  • Signal Processing 188
  • Cognitive Neuroscience 257
  • Developmental Biology 22
  • Computer Vision and Pattern Recognition 169
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Iréne Deliège Belgium
Piet G. Vos Netherlands
Eliot Handelman Canada
Wallace Berry United States
Robert O. Gjerdingen United States
Andrew J. Milne Australia
Rebecca D. Sager
Parag Chordia United States
Rudolf Rasch Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Larry Polansky

Since Specialization
Citations

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

Fields of papers citing papers by Larry Polansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Larry Polansky, 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 Larry Polansky Line = papers co-authored together Larry Polansky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 1980133
3 199219
4 199614
5 199010
6
HMSL: Overview (Version 3.1) and Notes on Intelligent Instrument Design.
19879
7 20097
8
HMSL (Hierarchical Music Specification Language): A Real-Time Environment for Formal, Perceptual and Compositional Experimentation
19856
9 19946
10 19876
11
Morphological Metrics: An Introduction to a Theory of Formal Distances.
19875
12
Morphological Mutation Functions: Applications to Motivic Transformation and a New Class of Cross-Synthesis Techniques
19915
13 19965
14
More on Morphological Mutation Functions: Recent Techniques and Developments
19924
15 19934
16 19904
17 19963
18 19833
19 19962
20 20072

About Larry Polansky

Larry Polansky is a scholar working on Computer Vision and Pattern Recognition, Music, Signal Processing, Cognitive Neuroscience and Communication, having authored 30 papers that have together received 403 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (18 papers), Musicology and Musical Analysis (9 papers), Music and Audio Processing (8 papers), Diverse Musicological Studies (4 papers), Neuroscience and Music Perception (4 papers), Diverse Music Education Insights (1 paper), Acoustic Wave Phenomena Research (1 paper) and Archaeology and Rock Art Studies (1 paper). The work is most often cited by research in Music (85 citations), Signal Processing (188 citations), Cognitive Neuroscience (257 citations), Developmental Biology (22 citations) and Computer Vision and Pattern Recognition (169 citations). Larry Polansky has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James H. Tenney, Beau Sievers, Thalia Wheatley, Michael A. Casey, James A. Kennedy, Micah K. Johnson, Daniel N. Rockmore, Michael Hicks, Roger F. Malina and Michael Winter. Their work appears in journals such as Leonardo, Computer Music Journal, Leonardo Music Journal, Journal of Music Theory and Journal of New Music Research.

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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