Index Optimization is a methodological framework within database performance tuning that systematically enhances query execution efficiency by strategically designing, selecting, and maintaining database indexes to minimize data access costs while balancing storage and update overhead.
289
Publications
15.7K
Citations
737
Authors
257
Institutions
Publications per year
2017–2026
63
Parents
Publications
289
Hao He, Haixun Wang, Jun Yang et al. · 2007 · 544 citations
Andrew Chi-Chih Yao · Journal of the ACM · 1981 · 359 citations · Full text
A Fast Index for Semistructured Data
Brian F. Cooper, Neal Sample, Michael J. Franklin et al. · 2001 · 339 citations
1–5 of 289
Authors
737
- SC
14
h-index
- VN
12
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- NP
8
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- KS
6
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- EN
5
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1–5 of 737
Institutions
257
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
13 h-index
31 publications
4.1K citations
Microsoft (United States)
Redmond, United States
12 h-index
53 publications
3.8K citations
IBM (United States)
Armonk, United States
12 h-index
26 publications
2.3K citations
IBM Research - Almaden
San Jose, United States
11 h-index
26 publications
1.9K citations
University of California, Santa Cruz
Santa Cruz, United States
9 h-index
14 publications
665 citations
Stanford University
Stanford, United States
8 h-index
12 publications
1.3K citations
University of Waterloo
Waterloo, Canada
7 h-index
10 publications
249 citations
National University of Singapore
Singapore, Singapore
7 h-index
16 publications
598 citations
1–8 of 257
Venues
- Proceedings of the VLDB Endowment
PVLDB · 30 publications · 1.7K citations
23
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- IEEE Transactions on Knowledge and Data Engineering
TKDE · 13 publications · 740 citations
11
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- ACM Transactions on Database Systems
TODS · 7 publications · 693 citations
7
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- ACM SIGMOD Record
7 publications · 313 citations
7
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- The Computer Journal
4 publications · 62 citations
4
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1–5