Conjoint Analysis
Conjoint Analysis is a statistical modeling method in preference analysis that identifies the relative importance of product or service attributes by decomposing individuals' stated or revealed preferences into part-worth utilities through experimentally designed trade-off scenarios.
2.5K
Publications
213K
Citations
6K
Authors
2.1K
Institutions
Publications per year
2017–2026
657
Parents
2.5K
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6K
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University of Pennsylvania
Philadelphia, United States
42 h-index
110 publications
22.6K citations
Massachusetts Institute of Technology
Cambridge, United States
30 h-index
52 publications
13.8K citations
University of Michigan
Ann Arbor, United States
27 h-index
51 publications
6.7K citations

Cornell University
Ithaca, United States
25 h-index
46 publications
8.7K citations
Stanford University
Stanford, United States
25 h-index
44 publications
6.1K citations

Pennsylvania State University
State College, United States
25 h-index
63 publications
4.5K citations
Columbia University
New York, United States
22 h-index
40 publications
2.8K citations

Johns Hopkins University
Baltimore, United States
20 h-index
63 publications
7K citations
1–8 of 2.1K
97 publications · 11.1K citations
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28 publications · 4.1K citations
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34 publications · 1.5K citations
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25 publications · 3.3K citations
24
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27 publications · 2.8K citations
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