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
6K
Testing for nonlinearity in time series: the method of surrogate data
James Theiler, Stephen Eubank, André Longtin et al. · Physica D Nonlinear Phenomena · 1992 · 3.8K citations
Wavelet methods for time series analysis
Choice Reviews Online · 2001 · 2.6K citations
1–5 of 6K
15.3K
38
h-index
23
h-index
21
h-index
Asia Eastern University of Science and Technology, Taiwan
20 publications · 2.3K citations
18
h-index
17
h-index
1–5 of 15.3K
3.6K

North China Electric Power University
Beijing, China
46 h-index
276 publications
19.5K citations

Chinese Academy of Sciences
Beijing, China
38 h-index
182 publications
10.6K citations
University of California, Riverside
Riverside, United States
35 h-index
141 publications
27.2K citations

Centre National de la Recherche Scientifique
Paris, France
35 h-index
151 publications
14.8K citations
Beijing Jiaotong University
Beijing, China
30 h-index
193 publications
6.5K citations

Central South University
Changsha, China
29 h-index
153 publications
11.4K citations

Huazhong University of Science and Technology
Wuhan, China
29 h-index
113 publications
10.1K citations

University of Alberta
Edmonton, Canada
28 h-index
59 publications
3.4K citations
1–8 of 3.6K
128 publications · 10.9K citations
59
h-index
90 publications · 8.8K citations
58
h-index
87 publications · 5.5K citations
43
h-index
84 publications · 7.6K citations
42
h-index
83 publications · 3.8K citations
36
h-index
1–5