Surface Runoff Modeling

Surface Runoff Modeling is a computational hydrological method that simulates the generation, movement, and distribution of overland water flow resulting from precipitation excess, distinguished from other hydrological models by its specific focus on the quantification and prediction of runoff processes occurring at the Earth's surface.

1.1K

Publications

65.8K

Citations

3.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

320

Authors

3.3K

  1. VP
    Vijay P. Singh

    Texas A&M University, United States

    11 publications · 433 citations

    11

    h-index

  2. TS
    Tammo S. Steenhuis

    Cornell University, United States

    11 publications · 1K citations

    10

    h-index

  3. FH
    Francis H. S. Chiew

    CSIRO Land and Water, Australia

    9 publications · 725 citations

    9

    h-index

  4. SM
    Sumeet Mishra

    Indian Institute of Technology Roorkee, India

    8 publications · 534 citations

    8

    h-index

  5. ED
    Emanuel Dutra

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    7 publications · 907 citations

    7

    h-index

1–5 of 3.3K

Venues

  1. Journal of Hydrology

    143 publications · 10.7K citations

    53

    h-index

  2. Water Resources Research

    55 publications · 5.8K citations

    36

    h-index

  3. Hydrological Processes

    54 publications · 3.6K citations

    35

    h-index

  4. Hydrology and earth system sciences

    31 publications · 3.7K citations

    25

    h-index

  5. 21

    h-index

1–5