Data-driven Admissions Decision Support

Data-Driven Admissions Decision Support is a computational framework that integrates predictive analytics, machine learning, and institutional data to inform and optimize admission decisions by systematically evaluating applicant profiles against historical enrollment and performance outcomes.

43

Publications

1.8K

Citations

126

Authors

59

Institutions

Publications per year

2017–2026

20

Authors

126

  1. AY
    Amin Y. Noaman

    King Abdulaziz University, Saudi Arabia

    2 publications · 79 citations

    2

    h-index

  2. AW
    Austin Waters

    Google (United States), United States

    2 publications · 103 citations

    2

    h-index

  3. AH
    Abdul Hamid M. Ragab

    King Abdulaziz University, Saudi Arabia

    2 publications · 80 citations

    2

    h-index

  4. RG
    Raden Gunawan Santosa

    Duta Wacana Christian University, Indonesia

    2 publications · 25 citations

    2

    h-index

  5. AR
    Antonius Rachmat Chrismanto

    Duta Wacana Christian University, Indonesia

    2 publications · 25 citations

    2

    h-index

1–5 of 126

Venues

  1. Education and Information Technologies

    2 publications · 137 citations

    2

    h-index

  2. IEEE Access

    2 publications · 343 citations

    2

    h-index

  3. Journal of the Operational Research Society

    OR · 1 publications · 19 citations

    1

    h-index

  4. Procedia Computer Science

    1 publications · 39 citations

    1

    h-index

  5. AI Magazine

    1 publications · 92 citations

    1

    h-index

1–5