Distributed Source Models

Distributed Source Models is a computational acoustic modeling framework that represents sound sources as spatially extended distributions rather than point sources, enabling more accurate simulation of wavefield propagation in complex media.

50

Publications

2.6K

Citations

146

Authors

80

Institutions

Publications per year

2017–2026

10

Authors

146

  1. TK
    Tribikram Kundu

    University of Arizona, United States

    5 publications · 92 citations

    5

    h-index

  2. LG
    Line Garnero

    Centre National de la Recherche Scientifique, France

    4 publications · 649 citations

    4

    h-index

  3. SB
    Sylvain Baillet

    Montreal Neurological Institute and Hospital, Canada

    4 publications · 649 citations

    4

    h-index

  4. YU
    Yong Up Lee

    Hallym University, South Korea

    3 publications · 103 citations

    3

    h-index

  5. IS
    Iickho Song

    Korea Advanced Institute of Science and Technology, South Korea

    3 publications · 103 citations

    3

    h-index

1–5 of 146

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 6 publications · 233 citations

    6

    h-index

  2. IEEE Transactions on Biomedical Engineering

    5 publications · 580 citations

    5

    h-index

  3. Human Brain Mapping

    3 publications · 134 citations

    3

    h-index

  4. Physics in Medicine and Biology

    2 publications · 189 citations

    2

    h-index

  5. IEEE Transactions on Signal Processing

    2 publications · 96 citations

    2

    h-index

1–5