Research Fraud Detection

Research Fraud Detection is a systematic academic process within research compliance that identifies intentional misconduct in scholarly work through the application of methodological, statistical, or forensic techniques to distinguish fabricated, falsified, or plagiarized data from authentic research outputs.

171

Publications

8.8K

Citations

314

Authors

212

Institutions

Publications per year

2017–2026

54

Authors

314

  1. RG
    R. Grant Steen

    St. Jude Children's Research Hospital, United States

    4 publications · 1.9K citations

    4

    h-index

  2. EG
    Eugene Garfield

    All Russian Institute for Scientific and Technical Information, Russia

    3 publications · 122 citations

    3

    h-index

  3. MD
    Mehdi Dadkhah

    Ferdowsi University of Mashhad, Iran

    3 publications · 91 citations

    3

    h-index

  4. EW
    Elizabeth Wager

    University of Split, Croatia

    2 publications · 36 citations

    2

    h-index

  5. VM
    Vijay Mohan

    RMIT University, Australia

    2 publications · 74 citations

    2

    h-index

1–5 of 314

Venues

  1. Science

    14 publications · 353 citations

    11

    h-index

  2. PubMed

    Repository · 8 publications · 160 citations

    8

    h-index

  3. Accountability in Research

    8 publications · 225 citations

    8

    h-index

  4. Journal of Medical Ethics

    6 publications · 786 citations

    6

    h-index

  5. JAMA

    6 publications · 211 citations

    6

    h-index

1–5