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Eamonn Keogh
- Author ID
- 9777
- ORCID
-
-
- Links
-
(found by gpt-5.2 on feb 8th, 2026)
- Most Frequent Institution
- University of California Riverside
- Pagerank
- 0.12246596
- Overall Rank
- 470 | 97.79%
- 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 |
0.00031074984 |
| 699 |
Exact Indexing of Dynamic Time Warping |
2002 |
VLDB |
0.00018015254 |
| 1,161 |
Querying and Mining of Time Series Data: Experimental Comparison of Representations and Distance Measures |
2008 |
VLDB |
0.00013585236 |
| 2,260 |
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series |
2018 |
SIGMOD |
9.1660405e-05 |
| 2,922 |
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases |
2004 |
VLDB |
7.8962914e-05 |
| 3,029 |
A Decade of Progress in Indexing and Mining Large Time Series Databases |
2006 |
VLDB |
7.6803666e-05 |
| 3,726 |
Indexing Large Human-Motion Databases |
2004 |
VLDB |
6.8148202e-05 |
| 4,219 |
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series |
2018 |
SIGMOD |
6.3500768e-05 |
| 4,264 |
Matrix Profile IV: Using Weakly Labeled Time Series to Predict Outcomes |
2017 |
VLDB |
6.3101889e-05 |
| 5,665 |
Rare Time Series Motif Discovery from Unbounded Streams |
2015 |
VLDB |
5.3821303e-05 |
| 5,999 |
Time Series Data Mining: A Unifying View |
2023 |
VLDB |
5.2415551e-05 |
| 7,187 |
LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures |
2006 |
VLDB |
4.8059196e-05 |
| 7,578 |
Scaling and Time Warping in Time Series Querying |
2005 |
VLDB |
4.7061534e-05 |