Mismatch Detection

Mismatch Detection is a methodological construct in error detection that identifies discrepancies between expected and observed outcomes by systematically comparing predefined criteria against actual results to flag incongruences.

184

Publications

15.1K

Citations

755

Authors

324

Institutions

Publications per year

2017–2026

45

Authors

755

  1. MF
    Malek Faham

    Adaptive Biotechnologies (United States), United States

    4 publications · 95 citations

    4

    h-index

  2. FS
    Faisal Shafait

    German Research Centre for Artificial Intelligence, Germany

    4 publications · 238 citations

    4

    h-index

  3. KS
    Kent Suyenaga

    Carnegie Department of Plant Biology, United States

    3 publications · 75 citations

    3

    h-index

  4. LA
    Lyle A. Simmons

    University of Michigan, United States

    3 publications · 156 citations

    3

    h-index

  5. JZ
    Jianbiao Zheng

    University of Illinois Urbana-Champaign, United States

    3 publications · 75 citations

    3

    h-index

1–5 of 755

Venues

  1. Psychophysiology

    6 publications · 703 citations

    6

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 619 citations

    5

    h-index

  3. Clinical Neurophysiology

    4 publications · 323 citations

    4

    h-index

  4. NeuroImage

    4 publications · 528 citations

    4

    h-index

  5. Chemical Communications

    ChemComm · 4 publications · 159 citations

    4

    h-index

1–5