Sensor Data Processing

Sensor Data Processing is a systematic computational methodology that transforms raw data streams acquired from physical or environmental sensors into structured, meaningful, and actionable information through filtering, aggregation, feature extraction, and analysis, specifically within distributed edge or Internet of Things (IoT) architectures.

978

Publications

44.5K

Citations

3.4K

Authors

1.1K

Institutions

Publications per year

2017–2026

345

Authors

3.4K

  1. SM
    Samuel Madden

    Massachusetts Institute of Technology, United States

    10 publications · 4K citations

    10

    h-index

  2. PB
    Payam Barnaghi

    University of Surrey, United Kingdom

    8 publications · 529 citations

    8

    h-index

  3. MJ
    Michael J. Franklin

    University of California, Berkeley, United States

    7 publications · 3.7K citations

    7

    h-index

  4. KA
    Karl Aberer

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 152 citations

    6

    h-index

  5. GA
    Gustavo Alonso

    ETH Zurich, Switzerland

    6 publications · 416 citations

    6

    h-index

1–5 of 3.4K

Venues

  1. Sensors

    48 publications · 2K citations

    23

    h-index

  2. IEEE Access

    17 publications · 956 citations

    15

    h-index

  3. IEEE Sensors Journal

    14 publications · 455 citations

    14

    h-index

  4. 13

    h-index

  5. Procedia Computer Science

    14 publications · 744 citations

    11

    h-index

1–5