Multi-resolution Time Series Analysis

Multi-Resolution Time Series Analysis is a time series analysis framework that distinguishes itself by simultaneously examining temporal patterns at multiple temporal granularities to capture both fine-scale and coarse-scale dynamics within irregularly spaced observations.

117

Publications

6K

Citations

412

Authors

244

Institutions

Publications per year

2017–2026

47

Authors

412

  1. JN
    J. Nathan Kutz

    University of Washington Applied Physics Laboratory, United States

    3 publications · 470 citations

    3

    h-index

  2. AG
    Abdul Gafoor Shaik

    Indian Institute of Technology Jodhpur, India

    3 publications · 95 citations

    3

    h-index

  3. SL
    Steven L. Brunton

    University of Washington, United States

    3 publications · 470 citations

    3

    h-index

  4. OP
    Om Prakash Mahela

    Hawassa University, Ethiopia

    3 publications · 95 citations

    3

    h-index

  5. MS
    Marten Scheffer

    Wageningen University & Research, Netherlands

    2 publications · 198 citations

    2

    h-index

1–5 of 412

Venues

  1. Remote Sensing of Environment

    5 publications · 451 citations

    5

    h-index

  2. Hydrology and earth system sciences

    4 publications · 177 citations

    4

    h-index

  3. 3

    h-index

  4. Remote Sensing

    3 publications · 224 citations

    3

    h-index

  5. 2

    h-index

1–5