Sequential Change Analysis
Sequential Change Analysis is a methodological framework within Change Trajectory Analysis that systematically examines temporal transitions and incremental alterations in a phenomenon by identifying and evaluating ordered, time-dependent states or events to reveal underlying patterns of evolution distinct from simultaneous or parallel change.
94
Publications
5.4K
Citations
322
Authors
149
Institutions
Publications per year
2017–2026
12
Parents
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1–5 of 94
322
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University of Illinois Urbana-Champaign, United States
2 publications · 273 citations
2
h-index
1–5 of 322
149
Stanford University
Stanford, United States
3 h-index
3 publications
170 citations

University of Alberta
Edmonton, Canada
3 h-index
5 publications
211 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
5 publications
140 citations

Vanderbilt University
Nashville, United States
3 h-index
8 publications
706 citations

McGill University
Montreal, Canada
2 h-index
6 publications
368 citations
Tottori University
Tottori-shi, Japan
2 h-index
9 publications
541 citations
University of Utah
Salt Lake City, United States
2 h-index
3 publications
135 citations
University of Lausanne
Lausanne, Switzerland
2 h-index
5 publications
377 citations
1–8 of 149
4 publications · 465 citations
4
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3 publications · 164 citations
3
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3 publications · 154 citations
3
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Repository · 3 publications · 61 citations
3
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2 publications · 107 citations
2
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1–5