Real-time Event Processing

Real-Time Event Processing is a computational framework within event tracking that enables the immediate ingestion, analysis, and response to event streams as they occur, distinguished by its temporal constraint of processing events with minimal latency to support time-critical decision-making.

73

Publications

5K

Citations

281

Authors

117

Institutions

Publications per year

2017–2026

20

Authors

281

  1. HJ
    Hans‐Arno Jacobsen

    University of Toronto, Canada

    3 publications · 91 citations

    3

    h-index

  2. YM
    Yutaka Matsuo

    The University of Tokyo, Japan

    2 publications · 574 citations

    2

    h-index

  3. JN
    J. Ngadiuba

    Fermi National Accelerator Laboratory, United States

    2 publications · 107 citations

    2

    h-index

  4. MN
    Mor Naaman

    Cornell University, United States

    2 publications · 774 citations

    2

    h-index

  5. TH
    Timothy H. Harrison

    Washington University in St. Louis, United States

    2 publications · 439 citations

    2

    h-index

1–5 of 281

Venues

  1. Language Cognition and Neuroscience

    3 publications · 76 citations

    3

    h-index

  2. Journal of Instrumentation

    JINST · 3 publications · 135 citations

    3

    h-index

  3. IEEE Transactions on Nuclear Science

    2 publications · 47 citations

    2

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 107 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 619 citations

    2

    h-index

1–5