Parallel Geographic Data Processing is a computational paradigm within distributed geographic information systems that enables the simultaneous execution of geographic data operations across multiple processing units to enhance performance and scalability in handling large-scale spatial datasets.
56
Publications
1.9K
Citations
180
Authors
86
Institutions
Publications per year
2017–2026
11
Publications
56
1–5 of 56
Authors
180
- SP
4
h-index
- SK
4
h-index
- MJ
3
h-index
- LZLijun Zhan
Institute of Geographic Sciences and Natural Resources Research, China
2 publications · 117 citations
2
h-index
- ACAndrea Clematis
Istituto di Matematica Applicata e Tecnologie Informatiche, Italy
2 publications · 71 citations
2
h-index
1–5 of 180
Institutions
86
Chinese Academy of Sciences
Beijing, China
6 h-index
16 publications
592 citations
Wuhan University
Wuhan, China
5 h-index
11 publications
358 citations
Georgia State University
Atlanta, United States
4 h-index
12 publications
329 citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
3 h-index
5 publications
108 citations
University of Minnesota
Minneapolis, United States
3 h-index
5 publications
115 citations
University of Leeds
Leeds, United Kingdom
3 h-index
5 publications
154 citations
University of Edinburgh
Edinburgh, United Kingdom
3 h-index
5 publications
129 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
3 h-index
9 publications
434 citations
1–8 of 86
Venues
- International Journal of Geographical Information Systems
10 publications · 507 citations
10
h-index
- Computers & Geosciences
CAGEO · 5 publications · 180 citations
5
h-index
- Transactions in GIS
3 publications · 102 citations
3
h-index
- Parallel Computing
2 publications · 160 citations
2
h-index
- ISPRS International Journal of Geo-Information
IJGI · 2 publications · 31 citations
2
h-index
1–5