Outlier Detection Evaluation
Outlier Detection Evaluation is a methodological framework within outlier detection research that systematically assesses the performance and reliability of outlier identification techniques through standardized metrics and validation strategies.
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2017–2026
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Markus Breunig, Hans‐Peter Kriegel, Raymond T. Ng et al. · ACM SIGMOD Record · 2000 · 5.2K citations
Markus Breunig, Hans‐Peter Kriegel, Raymond T. Ng et al. · 2000 · 3.9K citations · Full text
IsoplotR: A free and open toolbox for geochronology
Pieter Vermeesch · Geoscience Frontiers · 2018 · 3.4K citations · Full text
Universal outlier detection for PIV data
Jerry Westerweel, Fulvio Scarano · Experiments in Fluids · 2005 · 1.2K citations
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University of Alberta
Edmonton, Canada
10 h-index
19 publications
1.3K citations
Universidad Nacional Autónoma de México
Mexico City, Mexico
7 h-index
13 publications
638 citations
Ludwig-Maximilians-Universität München
Munich, Germany
7 h-index
18 publications
21.3K citations
Texas A&M University
College Station, United States
6 h-index
17 publications
604 citations

University of Waterloo
Waterloo, Canada
6 h-index
13 publications
417 citations
Harvard University
Cambridge, United States
6 h-index
14 publications
2.9K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
18 publications
1K citations
Temple University
Philadelphia, United States
5 h-index
6 publications
1.4K citations
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