Parallel Numerical Methods

Parallel Numerical Methods is a computational methodology within numerical analysis that employs concurrent algorithms and distributed or shared computing resources to accelerate the solution of mathematical problems involving large-scale numerical computations.

6.1K

Publications

366.7K

Citations

12.4K

Authors

2.4K

Institutions

Publications per year

2017–2026

944

Authors

12.4K

  1. AS
    Ahmed Sameh

    Purdue University West Lafayette, United States

    36 publications · 2K citations

    27

    h-index

  2. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    45 publications · 1.7K citations

    27

    h-index

  3. CF
    Charbel Farhat

    Stanford University, United States

    34 publications · 4.7K citations

    26

    h-index

  4. XC
    Xiao‐Chuan Cai

    University of Colorado Boulder, United States

    31 publications · 1.9K citations

    19

    h-index

  5. TE
    Tayfun E. Tezduyar

    Rice University, United States

    24 publications · 2.1K citations

    19

    h-index

1–5 of 12.4K

Venues

  1. SIAM Journal on Scientific Computing

    277 publications · 15.8K citations

    63

    h-index

  2. Journal of Computational Physics

    168 publications · 52.3K citations

    50

    h-index

  3. Computer Physics Communications

    165 publications · 9.3K citations

    47

    h-index

  4. Parallel Computing

    227 publications · 9.2K citations

    47

    h-index

  5. 42

    h-index

1–5