Phenotypic Data Analysis

Phenotypic Data Analysis is a computational and statistical methodology for examining measurable traits in plants to identify patterns, relationships, and genetic or environmental influences within crop phenotyping research.

1K

Publications

89.9K

Citations

7K

Authors

1.7K

Institutions

Publications per year

2017–2026

486

Authors

7K

  1. MG
    Michael Goodfellow

    Newcastle University, United Kingdom

    22 publications · 733 citations

    18

    h-index

  2. JC
    James C. Schnable

    University of Nebraska–Lincoln, United States

    9 publications · 473 citations

    9

    h-index

  3. JP
    James P. Balhoff

    University of North Carolina at Chapel Hill, United States

    8 publications · 1K citations

    8

    h-index

  4. PN
    Peter N. Robinson

    Charité - Universitätsmedizin Berlin, Germany

    8 publications · 964 citations

    8

    h-index

  5. JC
    Jochen C. Reif

    Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK), Germany

    8 publications · 222 citations

    8

    h-index

1–5 of 7K

Venues

  1. 32

    h-index

  2. Frontiers in Plant Science

    48 publications · 2K citations

    27

    h-index

  3. PLoS ONE

    35 publications · 2.7K citations

    26

    h-index

  4. Nucleic Acids Research

    25 publications · 4.7K citations

    24

    h-index

  5. Crop Science

    25 publications · 1.3K citations

    17

    h-index

1–5