Preference Distribution Algorithms
Preference Distribution Algorithms is a computational method in vote tabulation that systematically allocates and redistributes voter preferences among candidates according to predefined rules, distinguishing it from other tabulation methods by its focus on iteratively reallocated ranked or scored preferences to determine winners in proportional or preferential voting systems.
39
Publications
1.2K
Citations
88
Authors
59
Institutions
Publications per year
2017–2026
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39
Representative skylines using threshold-based preference distributions
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai et al. · 2011 · 57 citations
Multilabel Ranking with Inconsistent Rankers
Xin Geng, Longrun Luo · 2014 · 52 citations
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Rutgers, The State University of New Jersey, United States
2 publications · 46 citations
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University of Oxford
Oxford, United Kingdom
4 h-index
6 publications
156 citations
Columbia University
New York, United States
2 h-index
3 publications
394 citations

University of Auckland
Auckland, New Zealand
2 h-index
2 publications
22 citations
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
3 publications
74 citations

Southeast University
Nanjing, China
2 h-index
6 publications
160 citations
Duke University
Durham, United States
2 h-index
2 publications
104 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
8 publications
202 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
3 publications
74 citations
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Conference · 4 publications · 91 citations
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2 publications · 35 citations
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Repository · 2 publications · 58 citations
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2 publications · 53 citations
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1 publications · 87 citations
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