Real-time Data Processing

Real-Time Data Processing is a computational method within data handling that enables immediate acquisition, analysis, and response to data streams from digital instrumentation and IoT cloud platforms with minimal latency, distinguishing it from batch or offline processing by its strict temporal constraints on data throughput and system responsiveness.

713

Publications

35.1K

Citations

2.7K

Authors

924

Institutions

Publications per year

2017–2026

329

Authors

2.7K

  1. AA
    Awais Ahmad

    Kyungpook National University, South Korea

    7 publications · 533 citations

    7

    h-index

  2. AP
    Anand Paul

    Kyungpook National University, South Korea

    7 publications · 533 citations

    7

    h-index

  3. MM
    M. Mazhar Rathore

    Kyungpook National University, South Korea

    6 publications · 516 citations

    6

    h-index

  4. GA
    Ganjar Alfian

    Dongguk University, South Korea

    4 publications · 735 citations

    4

    h-index

  5. MR
    M. Ruíz

    Universidad Politécnica de Madrid, Spain

    4 publications · 97 citations

    4

    h-index

1–5 of 2.7K

Venues

  1. IEEE Access

    19 publications · 1.8K citations

    17

    h-index

  2. Sensors

    21 publications · 1.3K citations

    16

    h-index

  3. IEEE Internet of Things Journal

    11 publications · 940 citations

    11

    h-index

  4. IEEE Transactions on Nuclear Science

    10 publications · 219 citations

    10

    h-index

  5. Review of Scientific Instruments

    8 publications · 594 citations

    8

    h-index

1–5