Multiscale Modeling

Multiscale modeling is a computational methodology that couples mathematical models at different spatial and/or temporal scales to describe systems exhibiting phenomena across multiple orders of magnitude.

11.4K

Publications

718.9K

Citations

26.3K

Authors

4.7K

Institutions

Publications per year

2017–2026

3.3K

Authors

26.3K

  1. JF
    Jacob Fish

    Rensselaer Polytechnic Institute, United States

    48 publications · 2.9K citations

    32

    h-index

  2. WK
    Wing Kam Liu

    Northwestern University, United States

    42 publications · 4.2K citations

    32

    h-index

  3. AS
    Alan S. Willsky

    Massachusetts Institute of Technology, United States

    37 publications · 2.4K citations

    27

    h-index

  4. YE
    Yalchin Efendiev

    Texas A&M University, United States

    47 publications · 2.2K citations

    26

    h-index

  5. JL
    Jinghai Li

    Institute of Process Engineering, China

    25 publications · 2.4K citations

    23

    h-index

1–5 of 26.3K

Venues

  1. 70

    h-index

  2. Journal of Computational Physics

    211 publications · 11.5K citations

    57

    h-index

  3. Physical Review Letters

    PRL · 116 publications · 13.7K citations

    49

    h-index

  4. Physical Review E

    PRE · 141 publications · 8.2K citations

    47

    h-index

  5. Water Resources Research

    100 publications · 8.5K citations

    46

    h-index

1–5

See also

Multiscale Modeling

Core Methods

Applications

Variants

Evaluation

Limitations