Stream Query Processing

Stream Query Processing is a method of query processing that evaluates continuous queries over unbounded data streams in real time, distinguishing itself from batch-oriented approaches by enabling incremental computation and immediate response to streaming data arrivals.

430

Publications

32K

Citations

1.1K

Authors

299

Institutions

Publications per year

2017–2026

60

Authors

1.1K

  1. JW
    Jennifer Widom

    Stanford University, United States

    16 publications · 6.5K citations

    16

    h-index

  2. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    18 publications · 605 citations

    14

    h-index

  3. BB
    Brian Babcock

    Stanford University, United States

    12 publications · 5.3K citations

    12

    h-index

  4. WG
    Walid G. Aref

    Purdue University West Lafayette, United States

    12 publications · 710 citations

    11

    h-index

  5. DM
    David Maier

    Portland State University, United States

    11 publications · 1.1K citations

    11

    h-index

1–5 of 1.1K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 32 publications · 1.3K citations

    19

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 20 publications · 791 citations

    17

    h-index

  3. The VLDB Journal

    8 publications · 394 citations

    8

    h-index

  4. ACM Transactions on Database Systems

    TODS · 8 publications · 527 citations

    8

    h-index

  5. Very Large Data Bases

    Conference · 6 publications · 365 citations

    6

    h-index

1–5