Race Classification Algorithms

Race Classification Algorithms is a computational methodology that systematically categorizes individuals into racial groups based on phenotypic, genetic, or sociocultural markers, distinguished from other classification algorithms by its specific focus on race as a socially and biologically contested variable within algorithmic decision-making.

17

Publications

1.5K

Citations

51

Authors

18

Institutions

Publications per year

2017–2026

9

Authors

51

  1. DT
    Daniel T. Levin

    Vanderbilt University, United States

    2 publications · 439 citations

    2

    h-index

  2. IM
    Insa M. Schmidt

    Boston Medical Center, United States

    1 publications · 24 citations

    2

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  3. SS
    Sushrut S. Waikar

    Brigham and Women's Hospital, United States

    1 publications · 24 citations

    2

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  4. LF
    Leonidas Fegaras

    The University of Texas at Arlington, United States

    1 publications · 17 citations

    1

    h-index

  5. PY
    Peijiang Yuan

    Beihang University, China

    1 publications · 16 citations

    1

    h-index

1–5 of 51

Venues

  1. 2

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  2. Journal of the American Society of Nephrology

    1 publications · 24 citations

    1

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  3. 1

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  4. Nature Genetics

    1 publications · 635 citations

    1

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  5. Phytopathology

    1 publications · 38 citations

    1

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1–5