Resource Discovery Models

Resource Discovery Models is a theoretical framework within the field of exhaustible resource economics that formalizes the process of identifying and quantifying previously unknown natural resource deposits through probabilistic, geological, and economic indicators to predict discovery rates and resource availability over time.

62

Publications

1.9K

Citations

164

Authors

89

Institutions

Publications per year

2017–2026

10

Authors

164

  1. ED
    Emil D. Attanasi

    United States Geological Survey, United States

    3 publications · 87 citations

    3

    h-index

  2. OS
    Ohm Sornil

    National Institute of Development Administration, Thailand

    2 publications · 28 citations

    2

    h-index

  3. MP
    Michael Power

    University of Waterloo, Canada

    2 publications · 20 citations

    2

    h-index

  4. AA
    Ajay Arunachalam

    Örebro University, Sweden

    2 publications · 28 citations

    2

    h-index

  5. JH
    John H. Schuenemeyer

    University of Delaware, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 164

Venues

  1. The Energy Journal

    2 publications · 110 citations

    2

    h-index

  2. 2

    h-index

  3. Czech Digital Mathematics Library (Institute of Mathematics CAS)

    Repository · 1 publications · 18 citations

    1

    h-index

  4. The Review of Economics and Statistics

    1 publications · 36 citations

    1

    h-index

  5. 1

    h-index

1–5