Search Space Reduction
Search Space Reduction is a methodological strategy in computational optimization and bioinformatics that systematically diminishes the set of feasible solutions explored during search processes by eliminating regions provably devoid of optimal solutions, thereby enhancing computational efficiency without compromising solution optimality.
744
Publications
38.9K
Citations
2.4K
Authors
884
Institutions
Publications per year
2017–2026
326
744
Opportunistic data structures with applications
Paolo Ferragina, Giovanni Manzini · 2002 · 1.1K citations
Lingxi Xie, Alan Yuille · 2017 · 716 citations
1–5 of 744
2.4K
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884
Tsinghua University
Beijing, China
15 h-index
36 publications
2.1K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
28 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
30 publications
844 citations

The University of Sydney
Sydney, Australia
10 h-index
27 publications
1.4K citations
Michigan State University
East Lansing, United States
9 h-index
17 publications
811 citations
Stanford University
Stanford, United States
9 h-index
20 publications
2.1K citations

Beihang University
Beijing, China
8 h-index
18 publications
502 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
18 publications
547 citations
1–8 of 884
Repository · 32 publications · 718 citations
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16 publications · 633 citations
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10 publications · 665 citations
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9 publications · 2.3K citations
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9 publications · 1.6K citations
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