Reward-based Decision Making

Reward-Based Decision Making is a theoretical construct within affective decision making that characterizes the cognitive process by which individuals evaluate and select actions based on the anticipated hedonic value or reinforcement outcomes associated with potential choices.

738

Publications

62.7K

Citations

2.4K

Authors

791

Institutions

Publications per year

2017–2026

256

Authors

2.4K

  1. SF
    Stan Floresco

    University of British Columbia, Canada

    20 publications · 2.2K citations

    19

    h-index

  2. PD
    Peter Dayan

    University College London, United Kingdom

    13 publications · 1.5K citations

    13

    h-index

  3. DA
    Darrell A. Worthy

    Texas A&M University, United States

    11 publications · 587 citations

    11

    h-index

  4. RJ
    Raymond J. Dolan

    University College London, United Kingdom

    11 publications · 997 citations

    11

    h-index

  5. JP
    John P. O’Doherty

    California Institute of Technology, United States

    8 publications · 1.8K citations

    8

    h-index

1–5 of 2.4K

Venues

  1. Journal of Neuroscience

    56 publications · 7.4K citations

    41

    h-index

  2. PLoS ONE

    25 publications · 2.1K citations

    20

    h-index

  3. Cerebral Cortex

    18 publications · 2.5K citations

    18

    h-index

  4. Scientific Reports

    18 publications · 729 citations

    16

    h-index

  5. Frontiers in Psychology

    16 publications · 707 citations

    14

    h-index

1–5