Distributed Ocean Sensing

Distributed Ocean Sensing is a marine sensing framework that employs a spatially dispersed network of autonomous sensors to simultaneously collect and integrate oceanographic data across large-scale or complex marine environments, enabling high-resolution, real-time monitoring of dynamic oceanic processes.

27

Publications

1K

Citations

202

Authors

120

Institutions

Publications per year

2017–2026

10

Authors

202

  1. GS
    Gaurav S. Sukhatme

    University of Southern California, United States

    2 publications · 83 citations

    2

    h-index

  2. ED
    Eric Delory

    Oceanic Platform of the Canary Islands, Spain

    2 publications · 179 citations

    2

    h-index

  3. JG
    James G. Bellingham

    Monterey Bay Aquarium Research Institute, United States

    2 publications · 79 citations

    2

    h-index

  4. JP
    Jay Pearlman

    Institute of Electrical and Electronics Engineers, United States

    2 publications · 179 citations

    2

    h-index

  5. SG
    Scott Glenn

    Rutgers, The State University of New Jersey, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 202

Venues

  1. Oceanography

    3 publications · 104 citations

    3

    h-index

  2. Frontiers in Marine Science

    2 publications · 179 citations

    2

    h-index

  3. OCEANS 2022, Hampton Roads

    Conference · 1 publications · 12 citations

    1

    h-index

  4. Fisheries Research

    1 publications · 64 citations

    1

    h-index

  5. Geoscience Canada

    1 publications · 25 citations

    1

    h-index

1–5