Multidimensional Reconstruction

Multidimensional Reconstruction is a numerical technique in finite volume methods that belongs to the class of spatial discretization schemes, distinguished by its ability to accurately recover cell interface values through simultaneous consideration of gradients in multiple spatial dimensions, thereby preserving multidimensional flow features and minimizing cross-dimensional numerical diffusion.

96

Publications

6K

Citations

280

Authors

140

Institutions

Publications per year

2017–2026

24

Authors

280

  1. MD
    Mauricio D. Sacchi

    University of Alberta, Canada

    5 publications · 591 citations

    5

    h-index

  2. FX
    Feng Xiao

    Tokyo Institute of Technology, Japan

    3 publications · 216 citations

    3

    h-index

  3. YL
    Yibao Li

    Xi'an Jiaotong University, China

    3 publications · 71 citations

    3

    h-index

  4. DL
    Doron Levy

    University of Maryland, College Park, United States

    3 publications · 571 citations

    3

    h-index

  5. JK
    Junseok Kim

    Korea University, South Korea

    3 publications · 71 citations

    3

    h-index

1–5 of 280

Venues

  1. 8

    h-index

  2. Journal of Computational Physics

    6 publications · 322 citations

    6

    h-index

  3. Geophysics

    4 publications · 542 citations

    4

    h-index

  4. SIAM Journal on Scientific Computing

    3 publications · 518 citations

    3

    h-index

  5. Physical Review E

    PRE · 3 publications · 137 citations

    3

    h-index

1–5