Edge Analytics Platforms

Edge Analytics Platforms is a computational framework that enables data processing and analytical computations at or near the data source within an IoT ecosystem, distinguishing itself from centralized analytics platforms by minimizing latency, reducing bandwidth usage, and supporting real-time decision-making through localized intelligence.

57

Publications

2.6K

Citations

244

Authors

90

Institutions

Publications per year

2017–2026

54

Authors

244

  1. WS
    Walid Saad

    Virginia Tech, United States

    3 publications · 234 citations

    3

    h-index

  2. FS
    Fahd Saghir

    Schneider Electric (Germany), Germany

    3 publications · 45 citations

    3

    h-index

  3. AF
    Aidin Ferdowsi

    Virginia Tech, United States

    3 publications · 234 citations

    3

    h-index

  4. MB
    Matthieu Boujonnier

    Schneider Electric (Germany), Germany

    3 publications · 45 citations

    3

    h-index

  5. YL
    Yu‐Hsiu Lin

    National Taipei University of Technology, Taiwan

    3 publications · 241 citations

    3

    h-index

1–5 of 244

Venues

  1. IEEE Access

    3 publications · 134 citations

    3

    h-index

  2. Sensors

    2 publications · 200 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

  4. IT Professional

    1 publications · 23 citations

    1

    h-index

  5. 2021 IEEE Globecom Workshops (GC Wkshps)

    Conference · 1 publications · 13 citations

    1

    h-index

1–5