Time Series Analytics

Time Series Analytics is a specialized branch of data analytics that focuses on the statistical and computational analysis of sequentially ordered temporal data points to identify patterns, trends, and forecasting models unique to time-dependent phenomena.

2.9K

Publications

175K

Citations

7.9K

Authors

2.2K

Institutions

Publications per year

2017–2026

1.4K

Authors

7.9K

  1. EK
    Eamonn Keogh

    University of California, Riverside, United States

    57 publications · 9.6K citations

    39

    h-index

  2. TP
    Themis Palpanas

    Université Paris Cité, France

    20 publications · 1.1K citations

    18

    h-index

  3. PS
    Pengjian Shang

    Beijing Jiaotong University, China

    16 publications · 600 citations

    14

    h-index

  4. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    16 publications · 1.5K citations

    14

    h-index

  5. JL
    Jessica Lin

    George Mason University, United States

    13 publications · 2.3K citations

    12

    h-index

1–5 of 7.9K

Venues

  1. Expert Systems with Applications

    94 publications · 5.7K citations

    41

    h-index

  2. arXiv (Cornell University)

    Repository · 104 publications · 5.6K citations

    36

    h-index

  3. IEEE Access

    39 publications · 2K citations

    25

    h-index

  4. 24

    h-index

  5. Information Sciences

    37 publications · 2.4K citations

    24

    h-index

1–5