Visual Analytics For Scientific Data
Visual Analytics for Scientific Data is an interdisciplinary field of study that integrates computational analysis, interactive visualization, and human-centered reasoning to enable the discovery of insights in complex scientific datasets through visual interfaces.
1.4K
Publications
167.2K
Citations
5K
Authors
1.6K
Institutions
Publications per year
2017–2026
610
1.4K
MultiQC: summarize analysis results for multiple tools and samples in a single report
Philip Ewels, Måns Magnusson, Sverker Lundin et al. · Bioinformatics · 2016 · 10.4K citations · Full text
UCSF ChimeraX: Meeting modern challenges in visualization and analysis
Thomas D. Goddard, Conrad C. Huang, Elaine C. Meng et al. · Protein Science · 2017 · 5.8K citations · Full text
<i>circlize</i>implements and enhances circular visualization in R
Zuguang Gu, Lei Gu, Roland Eils et al. · Bioinformatics · 2014 · 4.6K citations · Full text
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1.6K
University of Utah
Salt Lake City, United States
23 h-index
84 publications
10.5K citations
Harvard University
Cambridge, United States
21 h-index
79 publications
11.9K citations
University of California, Davis
Davis, United States
19 h-index
70 publications
1.8K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
19 h-index
93 publications
4.7K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
48 publications
6.2K citations
University of Cambridge
Cambridge, United Kingdom
15 h-index
37 publications
15.2K citations

University of Tübingen
Tübingen, Germany
15 h-index
47 publications
9K citations

University of Toronto
Toronto, Canada
14 h-index
60 publications
6.1K citations
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100 publications · 34.8K citations
47
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TVCG · 90 publications · 5K citations
40
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72 publications · 15.7K citations
36
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28 publications · 1.5K citations
21
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23 publications · 2.3K citations
18
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