Spectral Methods

Spectral Methods is a numerical technique for solving differential equations by representing the solution as a sum of basis functions with global support, typically trigonometric or orthogonal polynomials, distinguished from other discretization methods by its exponential convergence rate for smooth solutions.

8.1K

Publications

472K

Citations

10.8K

Authors

2.8K

Institutions

Publications per year

2017–2026

1.5K

Authors

10.8K

  1. JS
    Jie Shen

    Purdue University West Lafayette, United States

    56 publications · 4.8K citations

    36

    h-index

  2. EH
    E. H. Doha

    Cairo University, Egypt

    58 publications · 2.9K citations

    33

    h-index

  3. WM
    W. M. Abd‐Elhameed

    Cairo University, Egypt

    44 publications · 1.5K citations

    28

    h-index

  4. GE
    George Em Karniadakis

    Brown University, United States

    30 publications · 2.8K citations

    27

    h-index

  5. MD
    Mehdi Dehghan

    Amirkabir University of Technology, Iran

    31 publications · 1.6K citations

    26

    h-index

1–5 of 10.8K

Venues

  1. Journal of Computational Physics

    346 publications · 31.7K citations

    79

    h-index

  2. SIAM Journal on Numerical Analysis

    166 publications · 11.4K citations

    59

    h-index

  3. SIAM Journal on Scientific Computing

    127 publications · 10K citations

    51

    h-index

  4. Journal of Functional Analysis

    109 publications · 5.1K citations

    39

    h-index

  5. Mathematics of Computation

    MCOM · 93 publications · 8.5K citations

    38

    h-index

1–5