Method Scalability

Method Scalability is a methodological attribute that denotes the capacity of an analytical method to maintain performance, reliability, and robustness when transferred across different scales of operation, from laboratory to production or across varied system configurations, without requiring substantial re-optimization.

11

Publications

709

Citations

48

Authors

17

Institutions

Publications per year

2017–2026

2

Authors

48

  1. BW
    Björn W. Schuller

    Imperial College London, United Kingdom

    1 publications · 13 citations

    1

    h-index

  2. RG
    Richard Grunzke

    Technische Universität Dresden, Germany

    1 publications · 11 citations

    1

    h-index

  3. QM
    Qingyu Meng

    University of Utah, United States

    1 publications · 16 citations

    1

    h-index

  4. OG
    Omar Ghattas

    The University of Texas at Austin, United States

    1 publications · 23 citations

    1

    h-index

  5. SR
    S. Ramachandram

    Osmania University, India

    1 publications · 40 citations

    1

    h-index

1–5 of 48

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 63 citations

    2

    h-index

  2. 14th Computational Fluid Dynamics Conference

    Conference · 1 publications · 85 citations

    1

    h-index

  3. 1

    h-index

  4. BioMed Research International

    1 publications · 11 citations

    1

    h-index

  5. Software Quality Journal

    1 publications · 39 citations

    1

    h-index

1–5