Kent Quanrud
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- Computational Geometry and Mesh Generation 4
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- Complexity and Algorithms in Graphs 9
- Advanced Graph Theory Research 7
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- Optimization and Search Problems 2
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- Stochastic Gradient Optimization Techniques 2
- Internet Traffic Analysis and Secure E-voting 1
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- Markov Chains and Monte Carlo Methods 1
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- Graphene research and applications 1
- Co-authors
- Daniel KhashabiChandra ChekuriSariel Har-PeledChao XuKasturi VaradarajanDanupon NanongkaiZhao ZhangThatchaphol Saranurak
- Cited by
- Computer Graphics and Computer-Aided DesignComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- SIAM Journal on Computing (1 paper)SIAM Journal on Discrete Mathematics (1 paper)Journal of Combinatorial Optimization (1 paper)
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Kent Quanrud
10 papers receiving 57 citations
Peers
Comparison fields: 5 of 20
- Computer Graphics and Computer-Aided Design 9
- Computational Theory and Mathematics 38
- Management Science and Operations Research 15
- Computer Networks and Communications 26
- Discrete Mathematics and Combinatorics 3
Countries citing papers authored by Kent Quanrud
This map shows the geographic impact of Kent Quanrud's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kent Quanrud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kent Quanrud more than expected).
Fields of papers citing papers by Kent Quanrud
This network shows the impact of papers produced by Kent Quanrud. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kent Quanrud. The network helps show where Kent Quanrud may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Kent Quanrud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2017 | 12 | |
| 10 | Online learning with adversarial delays | 2015 | 20 |
| 11 | 2015 | 3 |
About Kent Quanrud
Kent Quanrud is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Artificial Intelligence, having authored 11 papers that have together received 61 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (9 papers), Advanced Graph Theory Research (7 papers), Computational Geometry and Mesh Generation (4 papers), Stochastic Gradient Optimization Techniques (2 papers), Optimization and Search Problems (2 papers), Markov Chains and Monte Carlo Methods (1 paper), Graphene research and applications (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (9 citations), Computational Theory and Mathematics (38 citations) and Management Science and Operations Research (15 citations). Kent Quanrud has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Daniel Khashabi, Chandra Chekuri, Sariel Har-Peled, Chao Xu, Kasturi Varadarajan, Danupon Nanongkai, Zhao Zhang, Thatchaphol Saranurak, Jason Li and Debmalya Panigrahi. Their work appears in journals such as SIAM Journal on Computing, SIAM Journal on Discrete Mathematics and Journal of Combinatorial Optimization.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.