Data Stream Management Systems

Data Stream Management Systems is a computational system that processes continuous, real-time data flows by providing persistent query execution and temporal data handling, distinguishing itself from batch processing systems through its focus on ordered, high-velocity inputs and time-sensitive analysis.

287

Publications

23.8K

Citations

840

Authors

310

Institutions

Publications per year

2017–2026

51

Authors

840

  1. LG
    Lukasz Golab

    University of Waterloo, Canada

    12 publications · 1.4K citations

    12

    h-index

  2. TJ
    Theodore Johnson

    AT&T (United States), United States

    12 publications · 641 citations

    12

    h-index

  3. JW
    Jennifer Widom

    Stanford University, United States

    10 publications · 4.8K citations

    10

    h-index

  4. AL
    Alexandros Labrinidis

    University of Pittsburgh, United States

    10 publications · 215 citations

    10

    h-index

  5. PK
    Panos K. Chrysanthis

    University of Pittsburgh, United States

    8 publications · 173 citations

    8

    h-index

1–5 of 840

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 474 citations

    8

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 177 citations

    5

    h-index

  3. ACM SIGMOD Record

    4 publications · 996 citations

    4

    h-index

  4. Information Sciences

    4 publications · 60 citations

    4

    h-index

  5. Proceedings - International Conference on Data Engineering

    ICDE · 3 publications · 212 citations

    3

    h-index

1–5