Mapping Algorithms
Mapping Algorithms is a computational method that translates scores from a non-preference-based health-related quality of life measure into utility values on a preferred health state utility scale, typically to enable economic evaluation when direct utility data are unavailable.
356
Publications
18.6K
Citations
1.3K
Authors
506
Institutions
Publications per year
2017–2026
118
Parents
356
Rethinking virtual network embedding
Minlan Yu, Yung Yi, Jennifer Rexford et al. · ACM SIGCOMM Computer Communication Review · 2008 · 1.2K citations
1–5 of 356
1.3K
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Swiss Federal Laboratories for Materials Science and Technology, Switzerland
4 publications · 95 citations
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4
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3
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506
University of California, Los Angeles
Los Angeles, United States
9 h-index
21 publications
1.7K citations

Monash University
Melbourne, Australia
8 h-index
15 publications
368 citations

McMaster University
Hamilton, Canada
6 h-index
11 publications
469 citations
University of Sheffield
Sheffield, United Kingdom
6 h-index
10 publications
880 citations
Princeton University
Princeton, United States
5 h-index
15 publications
6.2K citations

University of York
York, United Kingdom
5 h-index
16 publications
445 citations
University of California, Berkeley
Berkeley, United States
5 h-index
6 publications
324 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
12 publications
445 citations
1–8 of 506
HQLO · 12 publications · 398 citations
11
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7 publications · 324 citations
8
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7 publications · 378 citations
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CIC · 7 publications · 181 citations
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6 publications · 309 citations
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