Dropout Risk Detection

Dropout Risk Detection is a predictive analytics methodology that identifies students at risk of leaving educational institutions before degree completion by analyzing behavioral, academic, and demographic indicators within educational data.

718

Publications

50.4K

Citations

1.9K

Authors

739

Institutions

Publications per year

2017–2026

287

Authors

1.9K

  1. CC
    Chris Chapman

    Leeds Beckett University, United Kingdom

    5 publications · 392 citations

    5

    h-index

  2. MD
    Mark Dynarski

    Mathematica Policy Research, United States

    5 publications · 395 citations

    5

    h-index

  3. PK
    Phillip Kaufman

    Economic Research Service, United States

    5 publications · 178 citations

    5

    h-index

  4. PJ
    Peter J. Diggle

    Lancaster University, United Kingdom

    5 publications · 749 citations

    5

    h-index

  5. RB
    Robert Balfanz

    Johns Hopkins University, United States

    4 publications · 195 citations

    4

    h-index

1–5 of 1.9K

Venues

  1. National Center for Education Statistics

    13 publications · 896 citations

    13

    h-index

  2. Education and Information Technologies

    8 publications · 330 citations

    8

    h-index

  3. International Journal of Educational Development

    IJED · 8 publications · 338 citations

    8

    h-index

  4. Children and Youth Services Review

    8 publications · 599 citations

    8

    h-index

  5. 7

    h-index

1–5