Eamonn Keogh
About
Eamonn Keogh has authored 170 papers that have received a total of 13.3k indexed citations.
This includes 139 papers in Signal Processing, 96 papers in Artificial Intelligence and 38 papers in Computer Vision and Pattern Recognition. The topics of these papers are Time Series Analysis and Forecasting (132 papers), Anomaly Detection Techniques and Applications (54 papers) and Music and Audio Processing (50 papers). Eamonn Keogh is often cited by papers focused on Time Series Analysis and Forecasting (132 papers), Anomaly Detection Techniques and Applications (54 papers) and Music and Audio Processing (50 papers) and collaborates with scholars based in United States, Thailand and France. Eamonn Keogh's co-authors include Abdullah Mueen, Stefano Lonardi, Chotirat Ann Ratanamahatana and Jessica Lin and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Transactions on Knowledge and Data Engineering.
In The Last Decade
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