Reward Decision-making

Reward Decision-Making is a governance mechanism within the domain of reward systems that determines the allocation, structure, and criteria of rewards based on strategic objectives, performance metrics, and stakeholder inputs, distinguishing it from broader reward management by focusing specifically on the authoritative and procedural aspects of reward-related choices.

99

Publications

7.7K

Citations

432

Authors

193

Institutions

Publications per year

2017–2026

43

Authors

432

  1. SF
    Stan Floresco

    University of British Columbia, Canada

    10 publications · 588 citations

    10

    h-index

  2. MV
    Mieke van Holstein

    Radboud University Nijmegen, Netherlands

    5 publications · 195 citations

    5

    h-index

  3. FF
    Flora F. T. Chiang

    Hong Kong Baptist University, Hong Kong SAR China

    3 publications · 204 citations

    3

    h-index

  4. DR
    David R. Montes

    University of British Columbia, Canada

    3 publications · 262 citations

    3

    h-index

  5. YO
    Yasumasa Okamoto

    Hiroshima University, Japan

    3 publications · 222 citations

    3

    h-index

1–5 of 432

Venues

  1. Journal of Neuroscience

    7 publications · 569 citations

    7

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 1.6K citations

    4

    h-index

  3. Neuropsychopharmacology

    4 publications · 231 citations

    4

    h-index

  4. Cerebral Cortex

    3 publications · 272 citations

    3

    h-index

  5. eLife

    3 publications · 211 citations

    3

    h-index

1–5