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Eamonn Keogh
- Author ID
- 9781
- ORCID
-
-
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- University of California Riverside
- Pagerank
- 0.12240442
- Overall Rank
- 482 | 97.70%
- Paper Count
- 13
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing 13 of 13 publications.
| Rank |
Title |
Year |
Venue |
Pagerank |
| 243 |
Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases |
2001 |
SIGMOD |
0.00031052437 |
| 696 |
Exact Indexing of Dynamic Time Warping |
2002 |
VLDB |
0.00017991162 |
| 1,164 |
Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures |
2008 |
VLDB |
0.00013572951 |
| 2,266 |
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series |
2018 |
SIGMOD |
9.1571904e-05 |
| 2,924 |
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases |
2004 |
VLDB |
7.8889353e-05 |
| 3,033 |
A Decade of Progress in Indexing and Mining Large Time Series Databases |
2006 |
VLDB |
7.6737668e-05 |
| 3,728 |
Indexing Large Human-Motion Databases |
2004 |
VLDB |
6.8082657e-05 |
| 4,217 |
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series |
2018 |
SIGMOD |
6.3439684e-05 |
| 4,258 |
Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes |
2017 |
VLDB |
6.3041152e-05 |
| 5,675 |
Rare Time Series Motif Discovery from Unbounded Streams |
2015 |
VLDB |
5.3774215e-05 |
| 6,003 |
Time Series Data Mining: A Unifying View |
2023 |
VLDB |
5.2365238e-05 |
| 7,204 |
LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures |
2006 |
VLDB |
4.7965536e-05 |
| 7,583 |
Scaling and Time Warping in Time Series Querying |
2005 |
VLDB |
4.7016397e-05 |