Reproducibility Assessment

Reproducibility Assessment is a methodological evaluation that determines the extent to which consistent results can be obtained when an experimental procedure, analytical model, or computational analysis—such as those used in biosensor calibration, estimation validation, visualization evaluation, or protein quantification—is independently repeated under specified conditions, thereby distinguishing it from mere accuracy or precision by focusing on outcome stability across replications.

1.7K

Publications

136.3K

Citations

9.6K

Authors

2.7K

Institutions

Publications per year

2017–2026

510

Authors

9.6K

  1. VS
    Victoria Stodden

    University of Illinois Urbana-Champaign, United States

    11 publications · 1.2K citations

    11

    h-index

  2. BA
    Brian A. Nosek

    University of Virginia, United States

    9 publications · 6.4K citations

    9

    h-index

  3. DF
    David Firmin

    Royal Brompton Hospital, United Kingdom

    8 publications · 525 citations

    8

    h-index

  4. AS
    Andreas Schuster

    German Centre for Cardiovascular Research, Germany

    7 publications · 620 citations

    7

    h-index

  5. JH
    Jinhai Huang

    Wenzhou Medical University, China

    7 publications · 212 citations

    7

    h-index

1–5 of 9.6K

Venues

  1. Journal of Clinical Microbiology

    JCM · 49 publications · 3.9K citations

    36

    h-index

  2. Journal of Magnetic Resonance Imaging

    JMRI · 57 publications · 3.4K citations

    34

    h-index

  3. PubMed

    Repository · 59 publications · 3K citations

    31

    h-index

  4. Magnetic Resonance in Medicine

    MRM · 32 publications · 2.1K citations

    27

    h-index

  5. Analytical Chemistry

    24 publications · 1.6K citations

    22

    h-index

1–5