Experimentation Pipelines

Experimentation Pipeline is a structured computational framework that orchestrates the sequential execution, management, and evaluation of experimental workflows in systematic empirical research, distinguishing itself by integrating automated stages for hypothesis testing, data processing, model training, validation, and result aggregation within an experimentation platform.

93

Publications

7.4K

Citations

533

Authors

264

Institutions

Publications per year

2017–2026

47

Authors

533

  1. JF
    Juliana Freire

    New York University, United States

    3 publications · 152 citations

    3

    h-index

  2. ES
    Emily S. Kappenman

    University of California, Davis, United States

    2 publications · 249 citations

    2

    h-index

  3. DS
    Dennis Shasha

    New York University, United States

    2 publications · 137 citations

    2

    h-index

  4. JA
    Jessica A. Turner

    Georgia State University, United States

    2 publications · 1.9K citations

    2

    h-index

  5. CK
    Christian Kröher

    University of Hildesheim, Germany

    2 publications · 28 citations

    2

    h-index

1–5 of 533

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 136 citations

    3

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 89 citations

    3

    h-index

  3. Nucleic Acids Research

    3 publications · 759 citations

    3

    h-index

  4. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 44 citations

    2

    h-index

  5. F1000Research

    2 publications · 52 citations

    2

    h-index

1–5