Biometric Modeling

Biometric Modeling is a statistical methodology that belongs to the class of quantitative genetic techniques, differentiating itself by quantifying the relative contributions of genetic and environmental factors to phenotypic variation using data from genetically related individuals, particularly monozygotic and dizygotic twins.

492

Publications

42.1K

Citations

1.5K

Authors

584

Institutions

Publications per year

2017–2026

136

Variants

Biometric Genetic Modeling

Authors

1.5K

  1. AY
    Abdulmojeed Yakubu

    Nasarawa State University, Nigeria

    7 publications · 256 citations

    7

    h-index

  2. FS
    Fabio Scotti

    University of Milan, Italy

    7 publications · 222 citations

    7

    h-index

  3. AR
    Arun Ross

    Michigan State University, United States

    7 publications · 548 citations

    7

    h-index

  4. AK
    Anil K. Jain

    Michigan State University, United States

    6 publications · 904 citations

    6

    h-index

  5. TR
    Ted Reichborn‐Kjennerud

    Norwegian Institute of Public Health, Norway

    6 publications · 285 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. Biometrics

    12 publications · 9.3K citations

    12

    h-index

  2. 10

    h-index

  3. 8

    h-index

  4. Sensors

    7 publications · 133 citations

    7

    h-index

  5. IET Biometrics

    BMT · 7 publications · 164 citations

    7

    h-index

1–5