Exchange Matching Algorithms is a computational method designed to optimize the pairing of incompatible donor-recipient pairs in kidney exchange programs by maximizing the number or quality of feasible transplants under defined clinical and logistical constraints.
15
Publications
737
Citations
47
Authors
25
Institutions
Publications per year
2017–2026
5
Parents
Publications
15
Early Experience of Paired Living Kidney Donation in the United Kingdom
Rachel Johnson, Joanne E. Allen, Susan V. Fuggle et al. · Transplantation · 2008 · 107 citations
Medicine, Immunology, Nephrology +17
John P. Dickerson, Ariel D. Procaccia, Tüomas Sandholm · 2013 · 75 citations
1–5 of 15
Authors
47
- JP
6
h-index
- TS
6
h-index
- AD
6
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- AB
3
h-index
- AS
2
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1–5 of 47
Institutions
25
Carnegie Mellon University
Pittsburgh, United States
8 h-index
24 publications
1K citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
80 citations
Catholic University of Korea
Seoul, South Korea
1 h-index
2 publications
90 citations
NHS Blood and Transplant
Watford, United Kingdom
1 h-index
4 publications
428 citations
Washington University in St. Louis
St Louis, United States
1 h-index
4 publications
40 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
35 citations
University of Glasgow
Glasgow, United Kingdom
1 h-index
2 publications
160 citations
Johns Hopkins Medicine
Baltimore, United States
1 h-index
5 publications
220 citations
1–8 of 25
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 2 publications · 137 citations
2
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- Transplantation
2 publications · 160 citations
2
h-index
- Operations Research
1 publications · 35 citations
1
h-index
- ACM Journal of Experimental Algorithmics
JEA · 1 publications · 80 citations
1
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- Journal of the American Society of Nephrology
1 publications · 45 citations
1
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1–5