Simulation-based Benchmarking

Simulation-Based Benchmarking is a methodological framework that employs synthetic data generation and controlled computational experiments to evaluate and compare the performance of doublet detection techniques under predefined, reproducible conditions.

20

Publications

1.2K

Citations

120

Authors

52

Institutions

Publications per year

2017–2026

9

Authors

120

  1. IC
    Isabelle Comyn-Wattiau

    École Supérieure des Sciences Économiques et Commerciales, France

    1 publications · 258 citations

    1

    h-index

  2. EF
    Erick Forno

    Children's Hospital of Pittsburgh, United States

    1 publications · 26 citations

    1

    h-index

  3. RH
    Rui Hu

    Argonne National Laboratory, United States

    1 publications · 17 citations

    1

    h-index

  4. DA
    Daniel A. Dalquen

    SIB Swiss Institute of Bioinformatics, Switzerland

    1 publications · 43 citations

    1

    h-index

  5. JW
    Jennifer Westoby

    University of Cambridge, United Kingdom

    1 publications · 46 citations

    1

    h-index

1–5 of 120

Venues

  1. Annals of Nuclear Energy

    2 publications · 31 citations

    2

    h-index

  2. Nature Methods

    2 publications · 333 citations

    2

    h-index

  3. Nuclear Engineering and Design

    1 publications · 27 citations

    1

    h-index

  4. Journal of Building Performance Simulation

    1 publications · 190 citations

    1

    h-index

  5. Journal of Management Information Systems

    JMIS · 1 publications · 258 citations

    1

    h-index

1–5