Data Handling Architecture

Data Handling Architecture is a systematic framework within avionics architecture that governs the acquisition, routing, processing, and storage of data across interconnected subsystems, distinguished by its focus on ensuring deterministic, reliable, and efficient information flow in aerospace platforms.

169

Publications

5.5K

Citations

734

Authors

247

Institutions

Publications per year

2017–2026

41

Authors

734

  1. DE
    Deborah Estrin

    University of California, Los Angeles, United States

    2 publications · 375 citations

    2

    h-index

  2. HN
    H. Nakanishi

    National Institute for Fusion Science, Japan

    2 publications · 38 citations

    2

    h-index

  3. TK
    Tadashi Kondo

    National Cancer Research Institute, United Kingdom

    2 publications · 26 citations

    2

    h-index

  4. ZF
    Zoltan F. Szakaly

    California Institute of Technology, United States

    2 publications · 52 citations

    2

    h-index

  5. ES
    Erica Subramaniam

    Inter-University Accelerator Centre, India

    2 publications · 39 citations

    2

    h-index

1–5 of 734