Stream Joins

Stream Join is a data integration operation in stream processing that combines elements from two or more continuous data streams based on a specified temporal or logical matching condition, enabling the derivation of enriched, time-correlated events.

82

Publications

3.4K

Citations

238

Authors

96

Institutions

Publications per year

2017–2026

16

Authors

238

  1. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    6 publications · 259 citations

    6

    h-index

  2. EA
    Elke A. Rundensteiner

    Worcester Polytechnic Institute, United States

    5 publications · 288 citations

    5

    h-index

  3. SB
    Shivnath Babu

    Duke University, United States

    5 publications · 659 citations

    5

    h-index

  4. BG
    Buğra Gedik

    IBM (United States), United States

    4 publications · 163 citations

    4

    h-index

  5. XL
    Xiang Lian

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 72 citations

    4

    h-index

1–5 of 238

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 5 publications · 192 citations

    5

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 207 citations

    5

    h-index

  3. IEEE Access

    3 publications · 53 citations

    3

    h-index

  4. The VLDB Journal

    2 publications · 78 citations

    2

    h-index

  5. BMC Bioinformatics

    1 publications · 14 citations

    1

    h-index

1–5