Source Localization

Source Localization is a methodological framework within signal processing that uniquely identifies the spatial origin of propagating acoustic or neural sources by inverting observed sensor array or network measurements through mathematical modeling of wave propagation and sensor response characteristics.

3.4K

Publications

195.9K

Citations

8.3K

Authors

2.1K

Institutions

Publications per year

2017–2026

1.1K

Authors

8.3K

  1. KN
    Kazuhiro Nakadai

    Honda (Japan), Japan

    33 publications · 1.8K citations

    25

    h-index

  2. KC
    K. C. Ho

    University of Missouri, United States

    26 publications · 3.5K citations

    23

    h-index

  3. HG
    Hiroshi G. Okuno

    Kyoto University, Japan

    32 publications · 1.5K citations

    22

    h-index

  4. GW
    Gang Wang

    Ningbo University, China

    21 publications · 1.2K citations

    19

    h-index

  5. PG
    Peter Gerstoft

    University of California San Diego, United States

    18 publications · 1.2K citations

    16

    h-index

1–5 of 8.3K

Venues

  1. IEEE Transactions on Signal Processing

    173 publications · 21K citations

    72

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 229 publications · 11.5K citations

    54

    h-index

  3. IEEE Signal Processing Letters

    58 publications · 3.2K citations

    34

    h-index

  4. IEEE Transactions on Biomedical Engineering

    47 publications · 6.9K citations

    32

    h-index

  5. 29

    h-index

1–5