Time-Series Performance Analysis is a methodological framework within performance analytics that systematically examines temporal patterns, trends, and anomalies in sequential data to assess and forecast the performance of dynamic systems or processes over time.
36
Publications
1.9K
Citations
144
Authors
79
Institutions
Publications per year
2017–2026
17
Parents
Publications
36
Complexity testing techniques for time series data: A comprehensive literature review
Ling Tang, Huiling Lv, Fengmei Yang et al. · Chaos Solitons & Fractals · 2015 · 135 citations
Computing, Data Science, Algorithms +13
1–5 of 36
Authors
144
- TP
2
h-index
- DA
2
h-index
- NJ
2
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- NE
2
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- ES
2
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1–5 of 144
Institutions
79
Emory University
Atlanta, United States
2 h-index
2 publications
86 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
3 publications
144 citations
Ames Research Center
Mountain View, United States
2 h-index
3 publications
135 citations
Microsoft (United States)
Redmond, United States
2 h-index
2 publications
30 citations
Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
260 citations
Space Telescope Science Institute
Baltimore, United States
2 h-index
18 publications
792 citations
Duke University
Durham, United States
2 h-index
2 publications
30 citations
European Space Research and Technology Centre
Noordwijk-Binnen, The Netherlands
2 h-index
2 publications
59 citations
1–8 of 79
Venues
- Expert Systems with Applications
2 publications · 55 citations
2
h-index
- International Journal of Forecasting
2 publications · 199 citations
2
h-index
- Publications of the Astronomical Society of the Pacific
PASP · 2 publications · 89 citations
2
h-index
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
1 publications · 16 citations
1
h-index
- Business and Economic Research
BER · 1 publications · 20 citations
1
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1–5