Flood Quantile Estimation

Flood Quantile Estimation is a statistical methodology within hydrological frequency analysis that determines the magnitude of flood events corresponding to specific return periods by modeling the distribution of annual peak flows.

250

Publications

13.5K

Citations

486

Authors

244

Institutions

Publications per year

2017–2026

75

Authors

486

  1. TB
    Taha B. M. J. Ouarda

    Institut National de la Recherche Scientifique, Canada

    14 publications · 835 citations

    14

    h-index

  2. JR
    Jery R. Stedinger

    Cornell University, United States

    15 publications · 1.4K citations

    14

    h-index

  3. AR
    Ataur Rahman

    Western Sydney University, Australia

    13 publications · 612 citations

    13

    h-index

  4. SG
    Shenglian Guo

    Wuhan University, China

    11 publications · 485 citations

    11

    h-index

  5. DH
    Donald H. Burn

    University of Waterloo, Canada

    11 publications · 819 citations

    11

    h-index

1–5 of 486

Venues

  1. Water Resources Research

    54 publications · 4.9K citations

    38

    h-index

  2. Journal of Hydrology

    24 publications · 1.4K citations

    21

    h-index

  3. Journal of Hydrologic Engineering

    28 publications · 1.4K citations

    20

    h-index

  4. Hydrological Sciences Journal

    20 publications · 1.1K citations

    16

    h-index

  5. Water

    16 publications · 460 citations

    15

    h-index

1–5