Computational Reproducibility

Computational Reproducibility is a methodological standard in scientific research that ensures the precise duplication of computational results by independent researchers using the same data, code, and procedures under the same conditions.

243

Publications

17.5K

Citations

882

Authors

505

Institutions

Publications per year

2017–2026

148

Authors

882

  1. VS
    Victoria Stodden

    University of Illinois Urbana-Champaign, United States

    20 publications · 1.6K citations

    16

    h-index

  2. JF
    Juliana Freire

    New York University, United States

    6 publications · 324 citations

    6

    h-index

  3. KH
    Konrad Hinsen

    Centre de Biophysique Moléculaire, France

    5 publications · 360 citations

    5

    h-index

  4. JP
    Jean‐Baptiste Poline

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    5 publications · 249 citations

    5

    h-index

  5. DS
    Dennis Shasha

    New York University, United States

    5 publications · 255 citations

    5

    h-index

1–5 of 882

Venues

  1. Computing in Science & Engineering

    14 publications · 743 citations

    12

    h-index

  2. GigaScience

    7 publications · 272 citations

    7

    h-index

  3. PLoS Computational Biology

    5 publications · 962 citations

    5

    h-index

  4. The Journal of Open Source Software

    JOSS · 5 publications · 258 citations

    5

    h-index

  5. 4

    h-index

1–5