Functional Data Analysis

Functional Data Analysis is a statistical methodology that treats observed data as discrete realizations of underlying smooth functions over a continuum, distinguishing it from traditional data analysis by focusing on the analysis of entire curves or functions rather than scalar observations.

859

Publications

57.1K

Citations

2.3K

Authors

995

Institutions

Publications per year

2017–2026

310

Authors

2.3K

  1. HM
    Hans‐Georg Müller

    University of California, Davis, United States

    25 publications · 3.8K citations

    21

    h-index

  2. PV
    Philippe Vieu

    Université Toulouse III - Paul Sabatier, France

    19 publications · 1.3K citations

    16

    h-index

  3. JO
    J. O. Ramsay

    McGill University, Canada

    16 publications · 3.6K citations

    15

    h-index

  4. PH
    Peter Hall

    The University of Melbourne, Australia

    12 publications · 1.3K citations

    12

    h-index

  5. LH
    Lajos Horváth

    University of Utah, United States

    10 publications · 527 citations

    10

    h-index

1–5 of 2.3K

Venues

  1. 25

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 31 publications · 3.2K citations

    24

    h-index

  3. 21

    h-index

  4. Biometrics

    21 publications · 1.3K citations

    19

    h-index

  5. Journal of Multivariate Analysis

    29 publications · 1.1K citations

    19

    h-index

1–5