Decision Tree Valuation

Decision Tree Valuation is a quantitative valuation method that belongs to the class of probabilistic financial models, distinguished by its use of decision trees to map sequential uncertainties and strategic decisions in startup financing, thereby estimating expected valuations under contingent future scenarios.

48

Publications

2.3K

Citations

169

Authors

97

Institutions

Publications per year

2017–2026

7

Authors

169

  1. AA
    Amr Abd‐Elrahman

    University of Florida, United States

    1 publications · 38 citations

    1

    h-index

  2. DR
    Dani Rodrik

    Harvard University, United States

    1 publications · 249 citations

    1

    h-index

  3. RM
    R Magar

    Thomson Reuters (United States), United States

    1 publications · 14 citations

    1

    h-index

  4. VH
    Van Hung Nguyen

    Hanoi Medical University, Vietnam

    1 publications · 42 citations

    1

    h-index

  5. SE
    Saman Eskandarzadeh

    Sharif University of Technology, Iran

    1 publications · 11 citations

    1

    h-index

1–5 of 169

Venues

  1. PubMed

    Repository · 2 publications · 34 citations

    2

    h-index

  2. European Journal of Operational Research

    2 publications · 108 citations

    2

    h-index

  3. Arboriculture & Urban Forestry

    2 publications · 123 citations

    2

    h-index

  4. R and D Management

    2 publications · 163 citations

    2

    h-index

  5. Decision Analysis

    2 publications · 168 citations

    2

    h-index

1–5