Real-time Data Management

Real-Time Data Management is a data management paradigm that enables the continuous ingestion, processing, and analysis of data streams with minimal latency to support immediate decision-making and action in dynamic environments.

244

Publications

9.6K

Citations

863

Authors

374

Institutions

Publications per year

2017–2026

83

Authors

863

  1. SH
    Sang H. Son

    University of Virginia, United States

    8 publications · 277 citations

    8

    h-index

  2. KK
    Kyoung‐Don Kang

    Binghamton University, United States

    5 publications · 113 citations

    5

    h-index

  3. LG
    Lukasz Golab

    University of Waterloo, Canada

    4 publications · 143 citations

    4

    h-index

  4. DN
    Dag Nyström

    Mälardalen University, Sweden

    4 publications · 127 citations

    4

    h-index

  5. BK
    Ben Kao

    University of Hong Kong, Hong Kong SAR China

    3 publications · 240 citations

    3

    h-index

1–5 of 863

Venues

  1. Future Generation Computer Systems

    FGCS · 4 publications · 213 citations

    4

    h-index

  2. Procedia Computer Science

    4 publications · 183 citations

    4

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 131 citations

    4

    h-index

  4. ACM SIGMOD Record

    3 publications · 97 citations

    3

    h-index

  5. Intelligent Energy Conference and Exhibition

    Conference · 3 publications · 57 citations

    3

    h-index

1–5