Top-k Query Processing
Top-K Query Processing is a query processing method that belongs to the class of selective retrieval techniques, distinguished by its focus on efficiently returning only the k highest-ranked results according to a specified scoring function, without requiring the evaluation of the entire result set.
376
Publications
19.3K
Citations
769
Authors
302
Institutions
Publications per year
2017–2026
62
Parents
376
Hao He, Haixun Wang, Jun Yang et al. · 2007 · 544 citations
Top-k Query Processing in Uncertain Databases
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen–Chuan Chang · 2007 · 428 citations
Efficient Top-k Query Evaluation on Probabilistic Data
Christopher Ré, Nilesh Dalvi, Dan Suciu · 2007 · 374 citations
1–5 of 376
769
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University of Illinois Urbana-Champaign, United States
12 publications · 1.3K citations
12
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11
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11
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1–5 of 769
302

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
23 h-index
42 publications
2.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
18 h-index
44 publications
3.2K citations

UNSW Sydney
Sydney, Australia
17 h-index
51 publications
3K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
16 h-index
24 publications
1.5K citations
Singapore Management University
Singapore, Singapore
13 h-index
21 publications
794 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
12 h-index
25 publications
1.4K citations
The University of Osaka
Osaka, Japan
11 h-index
40 publications
732 citations
Simon Fraser University
Burnaby, Canada
11 h-index
16 publications
1.2K citations
1–8 of 302
TKDE · 39 publications · 1.5K citations
24
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PVLDB · 32 publications · 2.1K citations
22
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14 publications · 1.1K citations
14
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12 publications · 336 citations
12
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TODS · 13 publications · 1.2K citations
12
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