Parallel Spatial Databases
Parallel Spatial Databases is a computational framework that extends spatial database systems by enabling the distributed processing of spatial data across multiple processors or nodes to enhance performance and scalability in handling large-scale spatial queries and analyses.
32
Publications
1.1K
Citations
89
Authors
52
Institutions
Publications per year
2017–2026
7
Parents
32
Parallel trajectory similarity joins in spatial networks
Shuo Shang, Lisi Chen, Zhewei Wei et al. · The VLDB Journal · 2018 · 134 citations · Full text
Computing, Geoinformatics, Geographic Information Science +11
Building a scaleable geo-spatial DBMS
Jignesh M. Patel, Curt J. Ellmann, Jim Kupsch et al. · 1997 · 102 citations
Theoretically-Efficient and Practical Parallel DBSCAN
Yiqiu Wang, Yan Gu, Julian Shun · 2020 · 59 citations · Full text
1–5 of 32
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52
University of Wisconsin–Madison
Madison, United States
4 h-index
33 publications
2.1K citations

University of Minnesota
Minneapolis, United States
3 h-index
6 publications
133 citations
City College of New York
New York, United States
2 h-index
2 publications
91 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
3 publications
162 citations
Emory University
Atlanta, United States
2 h-index
3 publications
132 citations
City University of New York
New York, United States
2 h-index
2 publications
91 citations

University of Toronto
Toronto, Canada
2 h-index
7 publications
223 citations
The Ohio State University
Columbus, United States
2 h-index
6 publications
270 citations
1–8 of 52
IJGI · 2 publications · 45 citations
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JSS · 1 publications · 22 citations
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1 publications · 134 citations
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1 publications · 14 citations
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TPDS · 1 publications · 15 citations
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