Outlier Visualization is a data quality visualization technique that specifically identifies and graphically represents anomalous data points deviating significantly from the expected pattern within a dataset.
84
Publications
5.8K
Citations
234
Authors
117
Institutions
Publications per year
2017–2026
25
Parents
Publications
84
The Box Plot: A Simple Visual Method to Interpret Data
David F. Williamson · Annals of Internal Medicine · 1989 · 705 citations
Use ggbreak to Effectively Utilize Plotting Space to Deal With Large Datasets and Outliers
Shuangbin Xu, Meijun Chen, Tingze Feng et al. · Frontiers in Genetics · 2021 · 367 citations · Full text
1–5 of 84
Authors
234
- VD
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- RD
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- EK
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- FC
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1–5 of 234
Institutions
117
King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
4 h-index
6 publications
266 citations
Universidad Carlos III de Madrid
Madrid, Spain
3 h-index
6 publications
340 citations
The Open University
Milton Keynes, United Kingdom
3 h-index
3 publications
140 citations
University of Bern
Bern, Switzerland
2 h-index
4 publications
280 citations
University of Minnesota
Minneapolis, United States
2 h-index
2 publications
95 citations
University of New Mexico
Albuquerque, United States
2 h-index
4 publications
97 citations
Iowa State University
Ames, United States
2 h-index
2 publications
159 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
5 publications
172 citations
1–8 of 117
Venues
- Journal of Computational and Graphical Statistics
JCGS · 8 publications · 523 citations
8
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- IEEE Transactions on Visualization and Computer Graphics
TVCG · 5 publications · 606 citations
5
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- Journal of the American Statistical Association
5 publications · 273 citations
5
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- The American Statistician
3 publications · 93 citations
3
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- Proceedings of the VLDB Endowment
PVLDB · 2 publications · 266 citations
2
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