Scientific Misconduct Detection

Scientific Misconduct Detection is a systematic scholarly process within research governance that identifies deviations from accepted scientific norms through the application of methodological, analytical, or procedural criteria to distinguish potentially fraudulent, fabricated, falsified, or otherwise ethically compromised research outputs.

380

Publications

18.7K

Citations

647

Authors

408

Institutions

Publications per year

2017–2026

121

Authors

647

  1. NH
    Nicholas H. Steneck

    University of Michigan, United States

    5 publications · 190 citations

    5

    h-index

  2. AC
    Arturo Casadevall

    Albert Einstein College of Medicine, United States

    4 publications · 1.4K citations

    4

    h-index

  3. FC
    Ferric C. Fang

    University of Washington, United States

    4 publications · 1.4K citations

    4

    h-index

  4. MD
    Mehdi Dadkhah

    Ferdowsi University of Mashhad, Iran

    4 publications · 163 citations

    4

    h-index

  5. BK
    Barbara K. Redman

    Wayne State University, United States

    4 publications · 154 citations

    4

    h-index

1–5 of 647

Venues

  1. Science and Engineering Ethics

    24 publications · 1.2K citations

    18

    h-index

  2. Science

    22 publications · 779 citations

    16

    h-index

  3. PubMed

    Repository · 22 publications · 764 citations

    15

    h-index

  4. Accountability in Research

    17 publications · 494 citations

    13

    h-index

  5. Nature

    14 publications · 444 citations

    12

    h-index

1–5