Data Structure Generalization
Data Structure Generalization is a theoretical framework in geographic information science that specifies principles and rules for systematically simplifying or abstracting spatial data structures while preserving essential topological, geometric, and semantic properties across varying levels of detail.
151
Publications
8.5K
Citations
361
Authors
178
Institutions
Publications per year
2017–2026
19
Parents
151
The Bloomier filter: an efficient data structure for static support lookup tables
Bernard Chazelle, Joe Kilian, Ronitt Rubinfeld et al. · 2004 · 333 citations
1–5 of 151
361
3
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 361
178
New York University
New York, United States
5 h-index
6 publications
350 citations
Georgia State University
Atlanta, United States
4 h-index
4 publications
102 citations
AT&T (United States)
Bedminster, United States
4 h-index
4 publications
184 citations
Texas A&M University
College Station, United States
3 h-index
6 publications
114 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
182 citations

University of Freiburg
Freiburg im Breisgau, Germany
3 h-index
5 publications
196 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
6 publications
145 citations

Indian Institute of Science Bangalore
Bengaluru, India
3 h-index
3 publications
158 citations
1–8 of 178
7 publications · 419 citations
7
h-index
Repository · 4 publications · 1.2K citations
4
h-index
4 publications · 123 citations
4
h-index
3 publications · 158 citations
3
h-index
Repository · 3 publications · 86 citations
3
h-index
1–5