Numerical Taxonomy

Numerical Taxonomy is a formal classification method in bacterial systematics that quantifies overall similarity among organisms based on large datasets of phenotypic characteristics, analyzed using statistical and computational techniques to construct taxonomic groupings.

693

Publications

49K

Citations

1.4K

Authors

486

Institutions

Publications per year

2017–2026

8

Variants

Taximetrics

Authors

1.4K

  1. MG
    Michael Goodfellow

    Newcastle University, United Kingdom

    25 publications · 2.3K citations

    23

    h-index

  2. PH
    P. H. A. Sneath

    University of Leicester, United Kingdom

    24 publications · 7.8K citations

    22

    h-index

  3. RR
    Rita R. Colwell

    University of Maryland, College Park, United States

    33 publications · 1.8K citations

    20

    h-index

  4. MT
    M Tsukamura

    Chubu National Hospital, Japan

    21 publications · 981 citations

    18

    h-index

  5. RR
    Robert R. Sokal

    Stony Brook University, United States

    12 publications · 6.4K citations

    12

    h-index

1–5 of 1.4K

Venues

  1. International Journal of Systematic Bacteriology

    IJSB · 79 publications · 6.3K citations

    42

    h-index

  2. Journal of General Microbiology

    JGM · 49 publications · 3.6K citations

    32

    h-index

  3. Microbiology

    34 publications · 4.2K citations

    28

    h-index

  4. 18

    h-index

  5. Applied and Environmental Microbiology

    AEM · 17 publications · 1.2K citations

    17

    h-index

1–5