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

Authors

1.3K

  1. GC
    Gang Chen

    Monash University, Australia

    6 publications · 195 citations

    6

    h-index

  2. JC
    Jason Cong

    University of California, Los Angeles, United States

    4 publications · 335 citations

    4

    h-index

  3. PZ
    Peter Zolliker

    Swiss Federal Laboratories for Materials Science and Technology, Switzerland

    4 publications · 95 citations

    4

    h-index

  4. JB
    J.W. Bandler

    McMaster University, Canada

    4 publications · 277 citations

    4

    h-index

  5. IF
    Ivar Farup

    Norwegian University of Science and Technology, Norway

    3 publications · 78 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Health and Quality of Life Outcomes

    HQLO · 12 publications · 398 citations

    11

    h-index

  2. Quality of Life Research

    7 publications · 324 citations

    8

    h-index

  3. 7

    h-index

  4. Color and Imaging Conference

    CIC · 7 publications · 181 citations

    7

    h-index

  5. 6

    h-index

1–5