Outlier Identification
Outlier Identification is a methodological process in data analysis that distinguishes anomalous observations from normal data points based on their significant deviation from the underlying statistical or structural patterns of the dataset.
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Publications
172.1K
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5.7K
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Publications per year
2017–2026
663
Parents
2.1K
Robust Regression and Outlier Detection
Gregory F. Piepel, Peter J. Rousseeuw, Annick M. Leroy · Technometrics · 1989 · 6.2K citations
Procedures for Detecting Outlying Observations in Samples
Frank E. Grubbs · Technometrics · 1969 · 3.7K citations
A Survey of Outlier Detection Methodologies
Jim Austin · Artificial Intelligence Review · 2004 · 3.3K citations · Full text
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London School of Economics and Political Science, United Kingdom
13 publications · 2.8K citations
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University of British Columbia
Vancouver, Canada
19 h-index
38 publications
8K citations

Chinese Academy of Sciences
Beijing, China
18 h-index
60 publications
2.8K citations
KU Leuven
Leuven, Belgium
17 h-index
50 publications
5.7K citations

University of Alberta
Edmonton, Canada
17 h-index
32 publications
2.6K citations
University of Sheffield
Sheffield, United Kingdom
16 h-index
42 publications
2.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
15 h-index
38 publications
2.6K citations
Virginia Tech
Blacksburg, United States
15 h-index
31 publications
1.6K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
14 h-index
22 publications
872 citations
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79 publications · 18.3K citations
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50 publications · 8.7K citations
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CSDA · 30 publications · 3K citations
25
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24 publications · 1.1K citations
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20 publications · 1.5K citations
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