Correlation Analysis

Correlation Analysis is a statistical method that quantifies the degree and direction of linear association between paired variables, distinguishing it from other dependency measures by its focus on Pearson or Spearman correlation coefficients within exploratory data analysis frameworks such as parallel coordinates.

12.4K

Publications

666.4K

Citations

44.6K

Authors

8K

Institutions

Publications per year

2017–2026

5.5K

Authors

44.6K

  1. IN
    Isao Noda

    Procter & Gamble (United States), United States

    47 publications · 5.2K citations

    31

    h-index

  2. YO
    Yukihiro Ozaki

    Kwansei Gakuin University, Japan

    26 publications · 1.6K citations

    22

    h-index

  3. YS
    Yi Shao

    Nanchang University, China

    24 publications · 790 citations

    18

    h-index

  4. ME
    Mordecai Ezekiel

    Agricultural & Applied Economics Association, United States

    19 publications · 1.6K citations

    15

    h-index

  5. YM
    Young Mee Jung

    Kangwon National University, South Korea

    17 publications · 650 citations

    15

    h-index

1–5 of 44.6K

Venues

  1. PLoS ONE

    137 publications · 10.3K citations

    43

    h-index

  2. Scientific Reports

    111 publications · 4.8K citations

    40

    h-index

  3. PubMed

    Repository · 252 publications · 11.5K citations

    40

    h-index

  4. 34

    h-index

  5. Sustainability

    94 publications · 3.8K citations

    33

    h-index

1–5