Co-occurrence Visualization
Co-Occurrence Visualization is a text visualization technique that represents the frequency and patterns of simultaneous appearance of textual elements, such as words or phrases, within a document or corpus to reveal associative relationships among them.
58
Publications
4.3K
Citations
157
Authors
90
Institutions
Publications per year
2017–2026
19
Parents
58
Using Wordle as a Supplementary Research Tool
Carmel McNaught, Paul Lam · The Qualitative Report · 2014 · 399 citations · Full text
Arc diagrams: visualizing structure in strings
Martin Wattenberg · 2003 · 239 citations
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157
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1–5 of 157
90
University of Stuttgart
Stuttgart, Germany
4 h-index
18 publications
1K citations
Wuhan University
Wuhan, China
3 h-index
4 publications
161 citations
Arizona State University
Tempe, United States
2 h-index
2 publications
466 citations

Helmholtz Centre for Environmental Research
Leipzig, Germany
2 h-index
3 publications
124 citations

Brunel University of London
London, United Kingdom
2 h-index
2 publications
42 citations
Seibersdorf Laboratories (Austria)
Seibersdorf, Austria
2 h-index
4 publications
216 citations
Kent State University
Kent, United States
2 h-index
3 publications
73 citations
University of Konstanz
Konstanz, Germany
2 h-index
6 publications
258 citations
1–8 of 90
TVCG · 6 publications · 520 citations
6
h-index
3 publications · 80 citations
3
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3 publications · 314 citations
3
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JASIS · 2 publications · 108 citations
2
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Repository · 2 publications · 886 citations
2
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1–5