Descriptive Summarization

Descriptive Summarization is a systematic method within descriptive statistics that condenses and characterizes the essential features of a dataset through measures of central tendency, dispersion, and distribution shape to provide a clear, concise overview of its inherent patterns and structures.

13

Publications

926

Citations

26

Authors

18

Institutions

Publications per year

2017–2026

3

Authors

26

  1. WD
    W. D. Kaigh

    The University of Texas at El Paso, United States

    1 publications · 12 citations

    1

    h-index

  2. WH
    Will Hayes

    London Postgraduate Medical and Dental Education, United Kingdom

    1 publications · 83 citations

    1

    h-index

  3. RG
    Ruth Garner

    University of Maryland, College Park, United States

    1 publications · 48 citations

    1

    h-index

  4. KB
    Klemens Böhm

    Karlsruhe Institute of Technology, Germany

    1 publications · 14 citations

    1

    h-index

  5. RR
    Ronald R. Yager

    Iona College, United States

    1 publications · 153 citations

    1

    h-index

1–5 of 26

Venues

  1. The American Statistician

    2 publications · 32 citations

    2

    h-index

  2. American Educational Research Journal

    AERJ · 1 publications · 48 citations

    1

    h-index

  3. Revista Alergia México

    RAM · 1 publications · 55 citations

    1

    h-index

  4. Multimedia Tools and Applications

    1 publications · 17 citations

    1

    h-index

  5. PubMed

    Repository · 1 publications · 10 citations

    1

    h-index

1–5