Computational Time Series Analysis

Computational Time Series Analysis is a subfield of statistical computing that focuses on the development and application of algorithmic and numerical methods for modeling, forecasting, and inference in time-dependent data sequences.

6K

Publications

416.8K

Citations

15.3K

Authors

3.6K

Institutions

Publications per year

2017–2026

2.6K

Authors

15.3K

  1. EK
    Eamonn Keogh

    University of California, Riverside, United States

    53 publications · 11.6K citations

    38

    h-index

  2. PS
    Pengjian Shang

    Beijing Jiaotong University, China

    39 publications · 1.3K citations

    23

    h-index

  3. WP
    Witold Pedrycz

    University of Alberta, Canada

    23 publications · 1.5K citations

    21

    h-index

  4. WH
    Wei‐Chiang Hong

    Asia Eastern University of Science and Technology, Taiwan

    20 publications · 2.3K citations

    18

    h-index

  5. EE
    Erol Eğrioğlu

    Giresun University, Türkiye

    19 publications · 1.3K citations

    17

    h-index

1–5 of 15.3K

Venues

  1. Expert Systems with Applications

    128 publications · 10.9K citations

    59

    h-index

  2. Energy

    90 publications · 8.8K citations

    58

    h-index

  3. Applied Soft Computing

    87 publications · 5.5K citations

    43

    h-index

  4. Neurocomputing

    84 publications · 7.6K citations

    42

    h-index

  5. Energies

    83 publications · 3.8K citations

    36

    h-index

1–5