Spectral Visualization
Spectral Visualization is a method in the field of Visual Music that transforms frequency-domain representations of sound into visual forms, distinguishing itself by mapping spectral data such as amplitude, frequency, and harmonic content to dynamic visual parameters like color, shape, and motion.
37
Publications
4.4K
Citations
118
Authors
63
Institutions
Publications per year
2017–2026
4
Parents
37
LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data
Jennifer Kyle, Kevin L. Crowell, Cameron Casey et al. · Bioinformatics · 2017 · 129 citations · Full text
Guide to the basic concepts and techniques of spectral music
Joshua Fineberg · Contemporary Music Review · 2000 · 100 citations
1–5 of 37
118
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 118
63
Russian Academy of Sciences
Moscow, Russia
2 h-index
2 publications
39 citations
King's College London
London, United Kingdom
1 h-index
4 publications
80 citations

Zhejiang University
Hangzhou, China
1 h-index
2 publications
20 citations

University of Montana
Missoula, United States
1 h-index
1 publications
27 citations
Czech Academy of Sciences, Institute of Thermomechanics
Prague, Czechia
1 h-index
3 publications
45 citations

Concordia University
Montreal, Canada
1 h-index
2 publications
48 citations
Cooperative Institute for Research in Environmental Sciences
Boulder, United States
1 h-index
7 publications
21.6K citations
Chevron (Netherlands)
Rotterdam, Netherlands
1 h-index
1 publications
39 citations
1–8 of 63
CIC · 2 publications · 27 citations
2
h-index
2 publications · 105 citations
2
h-index
1 publications · 24 citations
1
h-index
1 publications · 100 citations
1
h-index
JASA · 1 publications · 16 citations
1
h-index
1–5