Indexing Structures
Indexing Structure is a data organization method that enables efficient retrieval and scalability in Boolean Retrieval and Scalable Data Mining by systematically mapping terms to their associated documents or data elements.
806
Publications
48.6K
Citations
1.7K
Authors
591
Institutions
Publications per year
2017–2026
98
806
Erich Schubert, Jörg Sander, Martin Ester et al. · ACM Transactions on Database Systems · 2017 · 2.6K citations
Xifeng Yan, Philip S. Yu, Jiawei Han · 2004 · 635 citations
1–5 of 806
1.7K
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14
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11
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9
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1–5 of 1.7K
591
RMIT University
Melbourne, Australia
16 h-index
40 publications
2.8K citations
University of Chile
Santiago, Chile
15 h-index
25 publications
1.2K citations

University of Waterloo
Waterloo, Canada
15 h-index
35 publications
2.7K citations
Microsoft (United States)
Redmond, United States
14 h-index
47 publications
3.8K citations
IBM (United States)
Armonk, United States
14 h-index
40 publications
5.6K citations
Tsinghua University
Beijing, China
13 h-index
40 publications
3.3K citations
National University of Singapore
Singapore, Singapore
13 h-index
44 publications
2.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
28 publications
2.7K citations
1–8 of 591
PVLDB · 36 publications · 1.8K citations
23
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TODS · 20 publications · 4.7K citations
18
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TKDE · 25 publications · 1.2K citations
16
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JASIS · 12 publications · 623 citations
11
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9 publications · 696 citations
9
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1–5