Robustness Metrics

Robustness Metrics is a quantitative framework used to evaluate the resilience and stability of a process or system under varying conditions, distinguishing itself by measuring performance degradation in response to perturbations, faults, or environmental changes within the context of dependability and process robustness.

173

Publications

9.6K

Citations

520

Authors

225

Institutions

Publications per year

2017–2026

60

Authors

520

  1. AA
    Anthony A. Maciejewski

    Colorado State University, United States

    4 publications · 258 citations

    4

    h-index

  2. HJ
    Howard Jay Siegel

    Colorado State University, United States

    4 publications · 258 citations

    4

    h-index

  3. JP
    James P. G. Sterbenz

    University of Kansas, United States

    4 publications · 129 citations

    4

    h-index

  4. SA
    Shoukat Ali

    Purdue University West Lafayette, United States

    4 publications · 258 citations

    4

    h-index

  5. EC
    Eusebi Calle

    Universitat de Girona, Spain

    3 publications · 233 citations

    3

    h-index

1–5 of 520

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 363 citations

    4

    h-index

  2. IEEE Transactions on Automatic Control

    4 publications · 469 citations

    4

    h-index

  3. Journal of Mechanical Design

    3 publications · 88 citations

    3

    h-index

  4. Procedia Computer Science

    2 publications · 86 citations

    2

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 207 citations

    2

    h-index

1–5