Scalable Spatial Indexing
Scalable Spatial Indexing is a spatial indexing method designed to maintain efficient query performance and storage utilization as the volume of spatial data increases significantly, distinguishing it from conventional spatial indexing techniques by its ability to adapt and perform optimally in large-scale or distributed environments.
86
Publications
4.6K
Citations
299
Authors
123
Institutions
Publications per year
2017–2026
24
Parents
86
Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan et al. · 2019 · 398 citations
Jia Yu, Jinxuan Wu, Mohamed Sarwat · 2015 · 341 citations
Pankaj K. Agarwal, Lars Arge, Jeff Erickson · Journal of Computer and System Sciences · 2003 · 235 citations
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123

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
13 publications
841 citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
8 publications
1K citations
Aalborg University
Aalborg, Denmark
3 h-index
3 publications
223 citations
University of California, Berkeley
Berkeley, United States
3 h-index
5 publications
171 citations
University of Utah
Salt Lake City, United States
3 h-index
6 publications
654 citations
University of Southern California
Los Angeles, United States
3 h-index
8 publications
584 citations
University of California, Riverside
Riverside, United States
3 h-index
6 publications
310 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
7 publications
105 citations
1–8 of 123
PVLDB · 4 publications · 195 citations
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TKDE · 4 publications · 200 citations
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CAGEO · 2 publications · 30 citations
2
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2 publications · 109 citations
2
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1 publications · 20 citations
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