Kamesh Munagala

Computational Theory and Mathematics · 2001–2019

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 17 citations into it
• Artificial Intelligence — 14 citations into it
• Economics and Econometrics — 10 citations into it; #19,004 of 23,481 by trust here, #17,346 by citations
• Management Science and Operations Research — 10 citations into it; #9,978 of 11,946 by trust here, #9,931 by citations
• Organizational Behavior and Human Resource Management — 10 citations into it; #4,912 of 8,741 by trust here, #4,293 by citations
• Computer Networks and Communications — 8 citations into it; #5,941 of 9,886 by trust here, #3,638 by citations
• Industrial and Manufacturing Engineering — 7 citations into it; #1,110 of 2,521 by trust here, #896 by citations
• Safety Research — 7 citations into it; #4,442 of 5,829 by trust here, #5,214 by citations

Whom Kamesh Munagala trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kamal Kumar Jain
2. Sudipto Guha
3. Brandon Fain
4. Duncan K. Foley
5. Moses Charikar
6. Vijay V. Vazirani
7. L. Lov'asz

Who trusts Kamesh Munagala overall

1. Brandon Fain
2. Kamal Kumar Jain
3. Xingyu Chen

Papers from Kamesh Munagala's perspective

Ordered by how strongly the researchers Kamesh Munagala trusts endorse each paper. Same corpus, a different order for every researcher.

1. Primal-dual approximation algorithms for metric facility location and k-median problems
2. Approximation algorithms for facility location problems
3. Local Search Heuristics for k-Median and Facility Location Problems
4. Equality of Opportunity in Supervised Learning
5. Fairness through awareness
6. Inherent Trade-Offs in the Fair Determination of Risk Scores
7. Analysis of a local search heuristic for facility location problems (ACM-SIAM Symposium on Discrete Algorithms)
8. Clustering to Minimize the Maximum Intercluster Distance
9. Greedy facility location algorithms analyzed using dual fitting with factor-revealing LP (JACM)
10. Approximation algorithms for facility location problems

Their papers

• The Core of the Participatory Budgeting Problem (2016) — 128 citations
• Fair Allocation of Indivisible Public Goods (2018) — 134 citations
• Proportionally Fair Clustering (2019) — 183 citations
• Local Search Heuristics for k-Median and Facility Location Problems (2004) — 698 citations
• Local search heuristic for k-median and facility location problems (2001) — 391 citations