Volume Model Validation

Volume Model Validation is a methodological process that evaluates the accuracy, reliability, and generalizability of a computational or mathematical model designed to estimate volumetric quantities by comparing its outputs against empirical measurements or established benchmarks under controlled conditions.

14

Publications

397

Citations

56

Authors

22

Institutions

Publications per year

2017–2026

7

Authors

56

  1. MF
    Meghan Fehlig Mitman

    San Francisco County Transportation Authority, United States

    1 publications · 45 citations

    1

    h-index

  2. EL
    Edward L. Bolson

    University of Washington, United States

    1 publications · 19 citations

    1

    h-index

  3. XX
    Xinyi Xu

    The Ohio State University, United States

    1 publications · 20 citations

    1

    h-index

  4. GG
    Graciliano Galdino Alves dos Santos

    Universidade Federal Rural da Amazônia, Brazil

    1 publications · 19 citations

    1

    h-index

  5. TS
    Tugba Sensoy

    Florida State University, United States

    1 publications · 30 citations

    1

    h-index

1–5 of 56

Venues

  1. Open Geosciences

    1 publications · 44 citations

    1

    h-index

  2. CATENA

    1 publications · 24 citations

    1

    h-index

  3. BioResources

    1 publications · 16 citations

    1

    h-index

  4. International Journal of Fatigue

    1 publications · 10 citations

    1

    h-index

  5. 1

    h-index

1–5