Affective Segmentation
Affective Segmentation is a methodological framework within attitudinal segmentation that classifies individuals based on the intensity and valence of their emotional responses to stimuli, distinguishing it from cognitive or behavioral segmentation approaches by focusing exclusively on affective states as the primary basis for group differentiation.
12
Publications
390
Citations
29
Authors
16
Institutions
Publications per year
2017–2026
4
Parents
12
1–5 of 12
29
2
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1–5 of 29
16

Imperial College London
London, United Kingdom
2 h-index
4 publications
186 citations

New School
New York, United States
1 h-index
1 publications
73 citations
University of Connecticut
Storrs, United States
1 h-index
1 publications
43 citations

Tanta University
Tanta, Egypt
1 h-index
1 publications
30 citations

Southern Taiwan University of Science and Technology
Tainan City, Taiwan
1 h-index
1 publications
15 citations

Capital Medical University
Beijing, China
1 h-index
1 publications
30 citations

University of Central Florida
Orlando, United States
1 h-index
1 publications
30 citations
Jacobs Institute
Buffalo, United States
1 h-index
3 publications
198 citations
1–8 of 16
1 publications · 11 citations
1
h-index
Repository · 1 publications · 16 citations
1
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1 publications · 66 citations
1
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1 publications · 53 citations
1
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1 publications · 15 citations
1
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1–5