Multi-temporal Change Analysis
Multi-Temporal Change Analysis is a methodological framework within change attribution that systematically examines temporal sequences of observational data to identify, quantify, and characterize spatiotemporal alterations in a phenomenon by distinguishing genuine change signals from temporal variability across multiple time points.
63
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4.6K
Citations
264
Authors
128
Institutions
Publications per year
2017–2026
29
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63
Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis
Stephen M. Smith, Yongyue Zhang, Mark Jenkinson et al. · NeuroImage · 2002 · 2.1K citations
Christina Corbane, Martino Pesaresi, Panagiotis Politis et al. · International Journal of Digital Earth · 2018 · 91 citations
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National Research Council - Institute of Methodologies for Environmental Analysis
Tito, Italy
3 h-index
12 publications
324 citations
National Research Council
Rome, Italy
3 h-index
11 publications
361 citations
Wuhan University
Wuhan, China
2 h-index
2 publications
107 citations

University of Central Florida
Orlando, United States
2 h-index
2 publications
150 citations
Piksel (Italy)
Milan, Italy
2 h-index
2 publications
302 citations
Aerospace Information Research Institute
Beijing, China
2 h-index
4 publications
137 citations

The Graduate Center, CUNY
New York, United States
2 h-index
2 publications
108 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
161 citations
1–8 of 128
6 publications · 447 citations
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5 publications · 130 citations
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RSASE · 2 publications · 88 citations
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2 publications · 50 citations
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1 publications · 38 citations
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