Inverted Indexes
Inverted Indexes is a data structure used in information retrieval that maps terms to the documents containing them, distinguished by enabling efficient Boolean querying through term-based document set indexing.
362
Publications
21.6K
Citations
974
Authors
342
Institutions
Publications per year
2017–2026
78
Variants
Inverted Index
362
Three things everyone should know to improve object retrieval
Relja Arandjelović, Andrew Zisserman · 2012 · 1.4K citations
Heng Yin, Dawn Song, Manuel Egele et al. · 2007 · 688 citations
Tabix: fast retrieval of sequence features from generic TAB-delimited files
Heng Li · Bioinformatics · 2011 · 686 citations · Full text
1–5 of 362
974
15
h-index
14
h-index
11
h-index
10
h-index
7
h-index
1–5 of 974
342
RMIT University
Melbourne, Australia
17 h-index
48 publications
4.2K citations

The University of Melbourne
Melbourne, Australia
15 h-index
26 publications
2.2K citations
Tsinghua University
Beijing, China
14 h-index
45 publications
2.1K citations
Microsoft (United States)
Redmond, United States
11 h-index
30 publications
1.7K citations
New York University
New York, United States
11 h-index
26 publications
1.2K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
17 publications
1.9K citations
Stanford University
Stanford, United States
10 h-index
25 publications
1.7K citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
9 h-index
18 publications
687 citations
1–8 of 342
10 publications · 883 citations
10
h-index
JASIS · 8 publications · 577 citations
8
h-index
PVLDB · 7 publications · 362 citations
7
h-index
6 publications · 181 citations
6
h-index
5 publications · 102 citations
5
h-index
1–5