Uncertainty Quantification In Source Modeling

Uncertainty Quantification in Source Modeling is a methodological framework within acoustic source modeling that systematically characterizes and propagates uncertainties arising from incomplete knowledge, measurement errors, or model approximations in the estimation of source parameters and their acoustic fields.

43

Publications

1.6K

Citations

167

Authors

112

Institutions

Publications per year

2017–2026

14

Authors

167

  1. SE
    Stan E. Dosso

    University of Victoria, Canada

    3 publications · 88 citations

    3

    h-index

  2. PK
    Philip K. Hopke

    Clarkson University, United States

    2 publications · 157 citations

    2

    h-index

  3. EY
    Eugene Yee

    Defence Research and Development Canada, Canada

    2 publications · 67 citations

    2

    h-index

  4. PB
    Philip Blom

    Los Alamos National Laboratory, United States

    2 publications · 82 citations

    2

    h-index

  5. OM
    Omar Marcillo

    Los Alamos National Laboratory, United States

    2 publications · 82 citations

    2

    h-index

1–5 of 167

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 5 publications · 117 citations

    5

    h-index

  2. Atmospheric Environment

    3 publications · 211 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 138 citations

    2

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 2 publications · 95 citations

    2

    h-index

  5. Geophysical Research Letters

    2 publications · 46 citations

    2

    h-index

1–5