Iot Data Analytics

IoT Data Analytics is a computational methodology that distinguishes itself by enabling the systematic extraction, processing, and interpretation of heterogeneous data streams generated by interconnected devices within Internet of Things ecosystems to derive actionable insights, optimize operations, and support decision-making in cloud-based platforms.

356

Publications

23.5K

Citations

1.2K

Authors

557

Institutions

Publications per year

2017–2026

309

Authors

1.2K

  1. FP
    Francesco Piccialli

    University of Naples Federico II, Italy

    5 publications · 272 citations

    5

    h-index

  2. SD
    Schahram Dustdar

    TU Wien, Austria

    4 publications · 482 citations

    4

    h-index

  3. NM
    Nour Moustafa

    UNSW Sydney, Australia

    4 publications · 183 citations

    4

    h-index

  4. MM
    M. Mazhar Rathore

    Kyungpook National University, South Korea

    3 publications · 224 citations

    3

    h-index

  5. CB
    Claudio Badii

    University of Florence, Italy

    3 publications · 533 citations

    3

    h-index

1–5 of 1.2K

Venues

  1. IEEE Access

    12 publications · 1.9K citations

    12

    h-index

  2. Future Generation Computer Systems

    FGCS · 10 publications · 782 citations

    10

    h-index

  3. IEEE Internet of Things Journal

    7 publications · 1.4K citations

    7

    h-index

  4. Sensors

    7 publications · 685 citations

    6

    h-index

  5. Computer Communications

    5 publications · 242 citations

    5

    h-index

1–5