Interpolating Splines

Interpolating Splines is a curve interpolation method that constructs a smooth piecewise polynomial function passing exactly through a given set of data points, distinguished from other spline methods by its strict adherence to interpolation constraints at each knot.

1.5K

Publications

78.9K

Citations

2.5K

Authors

1K

Institutions

Publications per year

2017–2026

167

Authors

2.5K

  1. IJ
    I. J. Schoenberg

    University of Wisconsin–Madison, United States

    18 publications · 1.5K citations

    17

    h-index

  2. LL
    Larry L. Schumaker

    Vanderbilt University, United States

    23 publications · 970 citations

    16

    h-index

  3. PS
    Paul Sablonnière

    Institut National des Sciences Appliquées de Rennes, France

    21 publications · 531 citations

    16

    h-index

  4. DS
    D. Sbibih

    Mohamed I University, Morocco

    20 publications · 385 citations

    15

    h-index

  5. JS
    Jochen Schmidt

    Technische Universität Dresden, Germany

    16 publications · 470 citations

    13

    h-index

1–5 of 2.5K

Venues

  1. Computer Aided Geometric Design

    49 publications · 2K citations

    29

    h-index

  2. Applied Mathematics and Computation

    59 publications · 1.9K citations

    28

    h-index

  3. Journal of Computational and Applied Mathematics

    70 publications · 2.2K citations

    27

    h-index

  4. SIAM Journal on Numerical Analysis

    44 publications · 4.5K citations

    27

    h-index

  5. Computer-Aided Design

    45 publications · 2K citations

    26

    h-index

1–5