Sliding Window Analysis

Sliding Window Analysis is a computational technique in real-time analytics that processes continuous data streams by applying analytical operations over a fixed-size, time- or count-based subset of recent observations, which incrementally advances as new data arrives.

916

Publications

51.4K

Citations

3.1K

Authors

1.2K

Institutions

Publications per year

2017–2026

375

Variants

Sliding Window Processing

Authors

3.1K

  1. GL
    Gregory Levitin

    Israel Electric (Israel), Israel

    9 publications · 267 citations

    9

    h-index

  2. VD
    Vince D. Calhoun

    Mind Research Network, United States

    7 publications · 354 citations

    7

    h-index

  3. LL
    Lap–Kei Lee

    University of Hong Kong, Hong Kong SAR China

    5 publications · 216 citations

    5

    h-index

  4. DS
    Dennis Shasha

    New York University, United States

    5 publications · 406 citations

    5

    h-index

  5. UY
    Unil Yun

    Sejong University, South Korea

    5 publications · 374 citations

    5

    h-index

1–5 of 3.1K

Venues

  1. IEEE Access

    24 publications · 1.1K citations

    17

    h-index

  2. Sensors

    17 publications · 632 citations

    16

    h-index

  3. Bioinformatics

    16 publications · 950 citations

    14

    h-index

  4. IEEE Transactions on Signal Processing

    11 publications · 481 citations

    11

    h-index

  5. arXiv (Cornell University)

    Repository · 9 publications · 249 citations

    9

    h-index

1–5