Directional Data Analysis

Directional Data Analysis is a statistical methodology for analyzing data that are naturally represented as directions on a unit sphere, distinguished by its focus on angular relationships and rotational symmetry rather than linear or Euclidean distance.

233

Publications

18.8K

Citations

639

Authors

324

Institutions

Publications per year

2017–2026

26

Authors

639

  1. KV
    Kanti V. Mardia

    University of Leeds, United Kingdom

    11 publications · 1.4K citations

    11

    h-index

  2. NI
    N. I. Fisher

    Commonwealth Scientific and Industrial Research Organisation, Australia

    6 publications · 192 citations

    6

    h-index

  3. KV
    K. V. Mardia

    University of Leeds, United Kingdom

    5 publications · 2.7K citations

    5

    h-index

  4. JT
    John T. Kent

    University of Leeds, United Kingdom

    5 publications · 253 citations

    5

    h-index

  5. PE
    Peter E. Jupp

    University of St Andrews, United Kingdom

    5 publications · 429 citations

    5

    h-index

1–5 of 639

Venues

  1. Journal of the American Statistical Association

    12 publications · 747 citations

    11

    h-index

  2. Biometrika

    10 publications · 501 citations

    10

    h-index

  3. The Annals of Statistics

    9 publications · 514 citations

    9

    h-index

  4. Geophysical Journal International

    GJI · 9 publications · 338 citations

    9

    h-index

  5. Journal of Applied Statistics

    8 publications · 254 citations

    8

    h-index

1–5