Bottleneck Quantification

Bottleneck Quantification is a methodological framework within bottleneck analysis that identifies, measures, and evaluates the severity of performance-limiting constraints in a system by systematically assessing the flow of resources or information relative to capacity thresholds.

113

Publications

4.8K

Citations

349

Authors

192

Institutions

Publications per year

2017–2026

27

Authors

349

  1. JC
    Jason Cong

    University of California, Los Angeles, United States

    2 publications · 76 citations

    2

    h-index

  2. LM
    Lars Mönch

    FernUniversität in Hagen, Germany

    2 publications · 32 citations

    2

    h-index

  3. LB
    Luc Barbaro

    UMR BIOdiversity, GEnes & Communities, France

    2 publications · 73 citations

    2

    h-index

  4. ZZ
    Zhiru Zhang

    Cornell University, United States

    2 publications · 76 citations

    2

    h-index

  5. LS
    Laura Schillé

    UMR BIOdiversity, GEnes & Communities, France

    2 publications · 73 citations

    2

    h-index

1–5 of 349

Venues

  1. Molecular Ecology

    3 publications · 125 citations

    3

    h-index

  2. IEEE Transactions on Computers

    2 publications · 45 citations

    2

    h-index

  3. 2

    h-index

  4. Evolution

    2 publications · 78 citations

    2

    h-index

  5. Journal of Applied Probability

    JAP · 2 publications · 253 citations

    2

    h-index

1–5