Adaptive Mesh Refinement

Adaptive Mesh Refinement is a numerical technique in computational mechanics and scientific computing that systematically enhances solution accuracy by locally modifying the finite element mesh in regions of high approximation error, distinguished from uniform refinement by its selective and solution-driven spatial resolution.

7.4K

Publications

443.6K

Citations

12.9K

Authors

2.6K

Institutions

Publications per year

2017–2026

1.5K

Authors

12.9K

  1. JB
    John B. Bell

    Lawrence Berkeley National Laboratory, United States

    33 publications · 4.2K citations

    27

    h-index

  2. PC
    Phillip Colella

    Lawrence Berkeley National Laboratory, United States

    38 publications · 5.5K citations

    24

    h-index

  3. CC
    Carsten Carstensen

    Humboldt-Universität zu Berlin, Germany

    35 publications · 1.4K citations

    24

    h-index

  4. MS
    Mark S. Shephard

    Rensselaer Polytechnic Institute, United States

    49 publications · 2.2K citations

    24

    h-index

  5. JE
    Joseph E. Flaherty

    Rensselaer Polytechnic Institute, United States

    28 publications · 2.1K citations

    23

    h-index

1–5 of 12.9K

Venues

  1. Journal of Computational Physics

    732 publications · 74.3K citations

    120

    h-index

  2. 77

    h-index

  3. 69

    h-index

  4. SIAM Journal on Numerical Analysis

    132 publications · 11.8K citations

    53

    h-index

  5. 51

    h-index

1–5