Anomaly detection

In data analysis, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.

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Metrics Summary

Total Publications

Lifetime

13,570

Prior Five Years

6,730

Total Citations

Lifetime

149,760

Prior Five Years

59,526

Total Scholars

Lifetime

21,383

Prior Five Years

19,456

Institutional Rankings

Global (Worldwide)

Academic Institutions Lifetime		Academic Institutions Prior Five Years		Non-academic Institutions Lifetime
#1	University of Melbourne Australia	#1	Medical University of Vienna Austria	#1	National Institute of Informatics Japan
#2	University of Pisa Italy	#2	ShanghaiTech University China	#2	US Army Research Laboratory United States
#3	University of New South Wales Australia	#3	Texas A&M University - Commerce United States	#3	National Research Council, Italy Italy
#4	Carnegie Mellon University United States	#4	University of New South Wales Australia	#4	T. J. Watson Research Center
#5	Wuhan University China	#5	University of South Florida United States	#5	EMC IP Holding Company LLC
#6	Université de Paris France	#6	Thapar Institute of Engineering and Technology India	#6	Instituto de Telecomunicações Portugal
#7	National Technical University of Athens Greece	#7	Tarbiat Modares University Iran	#7	Ames Research Center United States
#8	Deakin University Australia	#8	Harbin Institute of Technology China	#8	Austrian Institute of Technology Austria
#9	University of Colorado Colorado Springs United States	#9	Ecole de technologie superieure Canada	#9	AT&T Corporation United States
#10	Tezpur University India	#10	University of Adelaide Australia	#10	United States Naval Research Laboratory United States
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National Institutional Rankings

Publications and Citation History

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Scholars based on Disciplines

Publications based on Fields

Scholars based on Fields

Highly Ranked Scholars™

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Prior Five Years

Evaluation Period:

Highly Cited Publications

Lifetime