Space Coverage Optimization
Space Coverage Optimization is a methodological framework within dispersion control that systematically maximizes the representativeness and spatial efficiency of sample or sensor placement across a target domain by optimizing coverage while minimizing redundancy and omission.
15
Publications
414
Citations
45
Authors
31
Institutions
Publications per year
2017–2026
3
Parents
15
Spatially Efficient Design of Annotated Metro Maps
Hsiang‐Yun Wu, Shigeo Takahashi, Daichi Hirono et al. · Computer Graphics Forum · 2013 · 34 citations
1–5 of 15
45
IBM Research - Thomas J. Watson Research Center, United States
3 publications · 92 citations
3
h-index
3
h-index
3
h-index
3
h-index
1
h-index
1–5 of 45
31
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
9 publications
276 citations
Synopsys (United States)
Mountain View, United States
3 h-index
3 publications
92 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
56 citations
Stony Brook University
Stony Brook, United States
1 h-index
2 publications
36 citations

Université de Caen Normandie
Caen, France
1 h-index
3 publications
87 citations
University of Arizona
Tucson, United States
1 h-index
2 publications
50 citations

Western University
London, Canada
1 h-index
1 publications
53 citations
FH Aachen
Aachen, Germany
1 h-index
1 publications
14 citations
1–8 of 31
MRM · 1 publications · 14 citations
1
h-index
Conference · 1 publications · 26 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 28 citations
1
h-index
1 publications · 53 citations
1
h-index
1–5