Statistical Summaries

Statistical Summaries is a systematic representation of data characteristics, within the broader class of data summarization methods, that employs numerical measures such as central tendency, dispersion, and distribution shape to quantitatively describe key patterns and variability in a dataset.

287

Publications

43K

Citations

729

Authors

344

Institutions

Publications per year

2017–2026

56

Authors

729

  1. PG
    Panagiotis G. Ipeirotis

    New York University, United States

    4 publications · 122 citations

    4

    h-index

  2. LG
    Luis Gravano

    Columbia University, United States

    4 publications · 122 citations

    4

    h-index

  3. DB
    Daniel B. Carr

    Tufts Medical Center, United States

    3 publications · 206 citations

    3

    h-index

  4. VP
    Viswanath Poosala

    Nokia (United States), United States

    3 publications · 612 citations

    3

    h-index

  5. AR
    Anthony R. Olsen

    Environmental Protection Agency, United States

    3 publications · 187 citations

    3

    h-index

1–5 of 729

Venues

  1. Technometrics

    10 publications · 7.4K citations

    10

    h-index

  2. The American Statistician

    5 publications · 108 citations

    5

    h-index

  3. Statistics in Medicine

    5 publications · 161 citations

    5

    h-index

  4. 4

    h-index

  5. Choice Reviews Online

    CRO · 4 publications · 219 citations

    4

    h-index

1–5