# Eamonn Keogh

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/eamonn-keogh/

## Facts

| Field | Value |
| --- | --- |
| Citations | 44,958 |
| Field | Time Series Analysis and Forecasting |
| h-index | 96 |
| i10-index | 247 |
| Last Known Institution | University of California, Riverside |
| OpenAlex ID | https://openalex.org/A5078245746 |
| ORCID iD | https://orcid.org/0000-0002-4188-3968 |
| Works | 406 |

## Researcher papers

- [Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification](https://scholariq.org/papers/dynamic-time-warping-averaging-of-time-series-allows-faster-and-more-accurate/)

## Researcher topics

- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting-2/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Data Management and Algorithms](https://scholariq.org/topics/data-management-and-algorithms/)
- [Music and Audio Processing](https://scholariq.org/topics/music-and-audio-processing/)
- [Complex Systems and Time Series Analysis](https://scholariq.org/topics/complex-systems-and-time-series-analysis/)

## Researcher university

- [University of California, Riverside](https://scholariq.org/institutions/university-of-california-riverside/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.