Inverse Source Identification

Inverse Source Identification is a computational methodology within acoustic source modeling that distinguishes itself by reconstructing the location, strength, and time history of acoustic sources through the analysis of measured wavefields, as opposed to forward prediction based on known source characteristics.

148

Publications

5.8K

Citations

419

Authors

213

Institutions

Publications per year

2017–2026

42

Authors

419

  1. AE
    Abdellatif El Badia

    Université de Technologie de Compiègne, France

    8 publications · 320 citations

    8

    h-index

  2. AM
    Andrea Massa

    University of Trento, Italy

    4 publications · 257 citations

    4

    h-index

  3. PN
    P.A. Nelson

    University of Southampton, United Kingdom

    4 publications · 134 citations

    4

    h-index

  4. JH
    Jens Haueisen

    Technische Universität Ilmenau, Germany

    4 publications · 216 citations

    4

    h-index

  5. YG
    Yukun Guo

    Harbin Institute of Technology, China

    3 publications · 108 citations

    3

    h-index

1–5 of 419

Venues

  1. Inverse Problems

    17 publications · 777 citations

    14

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 9 publications · 275 citations

    9

    h-index

  3. Journal of Sound and Vibration

    JSV · 8 publications · 197 citations

    8

    h-index

  4. Atmospheric Environment

    4 publications · 212 citations

    4

    h-index

  5. SIAM Journal on Applied Mathematics

    4 publications · 141 citations

    4

    h-index

1–5