Eamonn Keogh

Eamonn Keogh

University of California, Riverside

H-index: 111

North America-United States

About Eamonn Keogh

Eamonn Keogh, With an exceptional h-index of 111 and a recent h-index of 75 (since 2020), a distinguished researcher at University of California, Riverside, specializes in the field of Time Series, Time Series Mining, motif_discovery, similarity_search, anomaly_detection.

His recent articles reflect a diverse array of research interests and contributions to the field:

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies

Novelets: a new primitive that allows online detection of emerging behaviors in time series

The matrix profile in seismology: Template matching of everything with everything

Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths

Time Series Data Mining: A Unifying View

Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector

MERLIN++: parameter-free discovery of time series anomalies

Time series synthesis using the matrix profile for anonymization

Eamonn Keogh Information

University

Position

Professor of Computer Science

Citations(all)

61639

Citations(since 2020)

25266

Cited By

53783

hIndex(all)

111

hIndex(since 2020)

75

i10Index(all)

246

i10Index(since 2020)

199

Email

University Profile Page

University of California, Riverside

Google Scholar

View Google Scholar Profile

Eamonn Keogh Skills & Research Interests

Time Series

Time Series Mining

motif_discovery

similarity_search

anomaly_detection

Top articles of Eamonn Keogh

Title

Journal

Author(s)

Publication Date

PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies

Audrey Der

Chin-Chia Michael Yeh

Yan Zheng

Junpeng Wang

Zhongfang Zhuang

...

2024

Novelets: a new primitive that allows online detection of emerging behaviors in time series

Knowledge and Information Systems

Ryan Mercer

Eamonn Keogh

2024/1

The matrix profile in seismology: Template matching of everything with everything

Journal of Geophysical Research: Solid Earth

Nader Shabikay Senobari

Peter M Shearer

Gareth J Funning

Zachary Zimmerman

Yan Zhu

...

2024/2

Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths

Yue Lu

Thirumalai Vinjamoor Akhil Srinivas

Takaaki Nakamura

Makoto Imamura

Eamonn Keogh

2023/12/1

Time Series Data Mining: A Unifying View

Proceedings of the VLDB Endowment

Eamonn Keogh

2023/8/1

Matrix Profile XXIX: C22MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector

Sadaf Tafazoli

Yue Lu

Renjie Wu

Thirumalai Vinjamoor Akhil Srinivas

Hannah Dela Cruz

...

2023/12/1

MERLIN++: parameter-free discovery of time series anomalies

Data Mining and Knowledge Discovery

Takaaki Nakamura

Ryan Mercer

Makoto Imamura

Eamonn Keogh

2023/3

Time series synthesis using the matrix profile for anonymization

Audrey Der

Chin-Chia Michael Yeh

Yan Zheng

Junpeng Wang

Huiyuan Chen

...

2023/12/15

DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams

Data Mining and Knowledge Discovery

Yue Lu

Renjie Wu

Abdullah Mueen

Maria A Zuluaga

Eamonn Keogh

2023/3

Introducing Mplots: Scaling Time Series Recurrence Plots to Massive Datasets

Maryam Shahcheraghi

Ryan Mercer

João Manuel de Almeida Rodrigues

Audrey Der

Hugo Filipe Silveira Gamboa

...

2023/11/29

Matrix Profile XXVIII: Discovering Multi-Dimensional Time Series Anomalies with K of N Anomaly Detection†

Sadaf Tafazoli

Eamonn Keogh

2023

Sketching multidimensional time series for fast discord mining

Chin-Chia Michael Yeh

Yan Zheng

Menghai Pan

Huiyuan Chen

Zhongfang Zhuang

...

2023/12/15

Mohd Anif AA Bakar1, Pin Jern Ker1*, Shirley GH Tang2, Mohd Zafri Baharuddin1, Hui Jing Lee3 and Abdul Rahman Omar4, 5

Vetinformatics: An insight for decoding livestock systems through in silico biology

Sabine G Gebhardt-Henrich

Eamonn John Keogh

Alireza Abdoli

2023/11/15

Ego-network transformer for subsequence classification in time series data

Chin-Chia Michael Yeh

Huiyuan Chen

Yujie Fan

Xin Dai

Yan Zheng

...

2023/12/15

Getting an h-Index of 100 in 20 Years or Less!

Eamonn Keogh

2023/8/6

Matrix profile xxv: introducing novelets: a primitive that allows online detection of emerging behaviors in time series

Ryan Mercer

Eamonn Keogh

2022/11/28

Matrix Profile XXVI: Mplots: Scaling Time Series Similarity Matrices to Massive Data

Maryam Shahcheraghi

Ryan Mercer

João Manuel De Almeida Rodrigues

Audrey Der

Hugo Filipe Silveira Gamboa

...

2022/11/28

The matrix profile: a fast and sensitive template matching method for seismic event detection that does not require templates

Authorea Preprints

Nader Shakibay Senobari

Gareth Funning

Zachary Zimmermann

Yan Zhu

Peter M Shearer

...

2022/11/24

Matrix profile XXIV: scaling time series anomaly detection to trillions of datapoints and ultra-fast arriving data streams

Yue Lu

Renjie Wu

Abdullah Mueen

Maria A Zuluaga

Eamonn Keogh

2022/8/14

Introducing the contrast profile: a novel time series primitive that allows real world classification

Data Mining and Knowledge Discovery

Ryan Mercer

Sara Alaee

Alireza Abdoli

Nader Shakibay Senobari

Shailendra Singh

...

2022/3

See List of Professors in Eamonn Keogh University(University of California, Riverside)

Co-Authors

H-index: 59
Stefano Lonardi

Stefano Lonardi

University of California, Riverside

H-index: 43
Tony Bagnall

Tony Bagnall

University of East Anglia

H-index: 38
Abdullah Mueen

Abdullah Mueen

University of New Mexico

H-index: 36
Chotirat Ann Ratanamahatana

Chotirat Ann Ratanamahatana

Chulalongkorn University

H-index: 33
Michalis Vlachos

Michalis Vlachos

Université de Lausanne

H-index: 32
Jessica Lin

Jessica Lin

George Mason University

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