Automatic Retractors

Automatic Retractors is a computational framework that automatically identifies and retracts scientific claims or publications found to be erroneous or unreliable through algorithmic validation and trustworthiness assessment.

2

Publications

41

Citations

6

Authors

4

Institutions

Publications per year

2017–2026

0

Authors

6

  1. LR
    Laura Rocío Díaz-Guzmán

    Andrews University, United States

    1 publications · 11 citations

    1

    h-index

  2. RR
    Rodrigo Ramos-Zúñiga

    Universidad de Guadalajara, Mexico

    1 publications · 11 citations

    1

    h-index

  3. WF
    Wayne F. Peate

    University of Arizona, United States

    1 publications · 30 citations

    1

    h-index

  4. AM
    Ana Macías-Ornelas

    Universidad de Guadalajara, Mexico

    1 publications · 11 citations

    1

    h-index

  5. SV
    Shannen Velasquez

    Andrews University, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 6

Institutions

4

Venues

  1. 1

    h-index

  2. Journal of Neurosciences in Rural Practice

    1 publications · 11 citations

    1

    h-index

1–2