Hydrologic Regression Analysis

Hydrologic Regression Analysis is a statistical modeling technique that quantifies relationships between hydrologic variables and watershed characteristics to predict hydrologic responses at ungauged or poorly gauged locations.

73

Publications

3.8K

Citations

167

Authors

72

Institutions

Publications per year

2017–2026

10

Authors

167

  1. JR
    Jery R. Stedinger

    Cornell University, United States

    7 publications · 899 citations

    7

    h-index

  2. GD
    Gary D. Tasker

    United States Geological Survey, United States

    7 publications · 871 citations

    7

    h-index

  3. TK
    Thomas Kjeldsen

    University of Bath, United Kingdom

    2 publications · 65 citations

    2

    h-index

  4. JR
    James R. Wallis

    IBM (United States), United States

    2 publications · 78 citations

    2

    h-index

  5. WO
    Wilbert O. Thomas

    United States Geological Survey, United States

    2 publications · 69 citations

    2

    h-index

1–5 of 167

Venues

  1. Water Resources Research

    13 publications · 975 citations

    12

    h-index

  2. Scientific investigations report

    SIR · 7 publications · 208 citations

    7

    h-index

  3. Journal of Hydrology

    6 publications · 629 citations

    6

    h-index

  4. 5

    h-index

  5. Technometrics

    3 publications · 223 citations

    3

    h-index

1–5