Central Difference Schemes

Central Difference Schemes is a finite difference method that approximates derivatives by averaging forward and backward differences at a central point, thereby achieving higher accuracy through symmetric discretization of the computational domain.

513

Publications

29.3K

Citations

1.1K

Authors

492

Institutions

Publications per year

2017–2026

94

Authors

1.1K

  1. ET
    Eli Turkel

    Tel Aviv University, Israel

    7 publications · 913 citations

    6

    h-index

  2. SN
    Srinivasan Natesan

    Indian Institute of Technology Guwahati, India

    5 publications · 166 citations

    5

    h-index

  3. JM
    Jugal Mohapatra

    National Institute of Technology Rourkela, India

    4 publications · 91 citations

    5

    h-index

  4. RM
    Rajat Mittal

    Johns Hopkins University, United States

    4 publications · 510 citations

    4

    h-index

  5. RC
    R. C. Swanson

    Langley Research Center, United States

    5 publications · 881 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. 20

    h-index

  2. 17

    h-index

  3. AIAA Journal

    18 publications · 2K citations

    16

    h-index

  4. Numerical Heat Transfer Part B Fundamentals

    16 publications · 494 citations

    14

    h-index

  5. Journal of Computational Physics

    15 publications · 3.4K citations

    14

    h-index

1–5