Algorithmic Ethnicity Classification

Algorithmic Ethnicity Classification is a computational method that systematically identifies and categorizes individuals or groups into ethnic categories based on algorithmically processed data features, distinguished from other classification approaches by its reliance on automated, rule-based or machine learning models to infer ethnicity from quantifiable attributes.

23

Publications

1.4K

Citations

87

Authors

45

Institutions

Publications per year

2017–2026

13

Authors

87

  1. SS
    Steven Skiena

    Stony Brook University, United States

    3 publications · 382 citations

    3

    h-index

  2. SH
    Shuchu Han

    Stony Brook University, United States

    2 publications · 142 citations

    2

    h-index

  3. HQ
    Hong Qin

    Stony Brook University, United States

    2 publications · 142 citations

    2

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  4. ML
    Meizhu Liu

    University of Florida, United States

    2 publications · 142 citations

    2

    h-index

  5. JY
    Junting Ye

    Stony Brook University, United States

    2 publications · 142 citations

    2

    h-index

1–5 of 87

Venues

  1. Image and Vision Computing

    2 publications · 97 citations

    2

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  2. PLoS ONE

    2 publications · 39 citations

    2

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  3. 1

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  4. American Journal of Physical Anthropology

    1 publications · 12 citations

    1

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  5. arXiv (Cornell University)

    Repository · 1 publications · 25 citations

    1

    h-index

1–5