Mahalanobis Distance

Mahalanobis Distance is a statistical measure of the distance between a point and a distribution, differing from Euclidean distance by accounting for the correlations and variances among variables in multivariate space.

1.6K

Publications

88K

Citations

5K

Authors

1.7K

Institutions

Publications per year

2017–2026

504

Authors

5K

  1. MP
    Michael Pecht

    University of Maryland, College Park, United States

    12 publications · 567 citations

    12

    h-index

  2. RG
    Richard G. Brereton

    University of Bristol, United Kingdom

    7 publications · 313 citations

    7

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  3. EA
    Elizabeth A. Cudney

    Missouri University of Science and Technology, United States

    6 publications · 144 citations

    6

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  4. JK
    Junae Kim

    The University of Adelaide, Australia

    6 publications · 307 citations

    6

    h-index

  5. LW
    Lei Wang

    University of Wollongong, Australia

    6 publications · 294 citations

    6

    h-index

1–5 of 5K

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 2.8K citations

    23

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  2. Sensors

    25 publications · 957 citations

    19

    h-index

  3. 15

    h-index

  4. IEEE Sensors Journal

    14 publications · 572 citations

    14

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  5. 14

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1–5