Query Metrics
Query Metrics is a scholarly evaluation framework within the domain of information retrieval that quantifies the effectiveness, efficiency, and relevance of query processing mechanisms by measuring system performance against predefined analytical criteria such as precision, recall, latency, and query throughput.
99
Publications
4.8K
Citations
232
Authors
92
Institutions
Publications per year
2017–2026
16
Parents
99
Improved histograms for selectivity estimation of range predicates
Viswanath Poosala, Peter J. Haas, Yannis Ioannidis et al. · 1996 · 559 citations
Improved histograms for selectivity estimation of range predicates
Viswanath Poosala, Peter J. Haas, Yannis Ioannidis et al. · ACM SIGMOD Record · 1996 · 184 citations
1–5 of 99
232
5
h-index
4
h-index
3
h-index
National and Kapodistrian University of Athens, Greece
3 publications · 761 citations
3
h-index
3 publications · 58 citations
3
h-index
1–5 of 232
92
IBM Research - Haifa
Haifa, Israel
6 h-index
11 publications
622 citations
Yahoo (Spain)
Madrid, Spain
4 h-index
6 publications
267 citations
Stanford University
Stanford, United States
3 h-index
7 publications
182 citations
Yahoo (United Kingdom)
London, United Kingdom
3 h-index
5 publications
194 citations
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
222 citations

Bilkent University
Ankara, Türkiye
3 h-index
7 publications
221 citations
RMIT University
Melbourne, Australia
2 h-index
4 publications
108 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
4 publications
432 citations
1–8 of 92
13 publications · 730 citations
12
h-index
6 publications · 164 citations
6
h-index
4 publications · 136 citations
4
h-index
AJ · 3 publications · 39 citations
3
h-index
3 publications · 57 citations
3
h-index
1–5