Rasmus Kyng
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Statistics and Probability top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Sushant SachdevaRichard PengAnup RaoMaximilian Probst GutenbergYang P. LiuLi ChenDaniel A. SpielmanMichael B. Cohen
- Topics
- Complexity and Algorithms in Graphs (12 papers)Markov Chains and Monte Carlo Methods (7 papers)Optimization and Search Problems (4 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Rasmus Kyng
16 papers receiving 207 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 122
- Artificial Intelligence 79
- Computer Networks and Communications 55
- Statistics and Probability 39
- Statistical and Nonlinear Physics 25
Countries citing papers authored by Rasmus Kyng
This map shows the geographic impact of Rasmus Kyng'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 Rasmus Kyng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rasmus Kyng more than expected).
Fields of papers citing papers by Rasmus Kyng
This network shows the impact of papers produced by Rasmus Kyng. 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 Rasmus Kyng. The network helps show where Rasmus Kyng may publish in the future.
Co-authorship network of co-authors of Rasmus Kyng
This figure shows the co-authorship network connecting the top 25 collaborators of Rasmus Kyng. A scholar is included among the top collaborators of Rasmus Kyng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rasmus Kyng. Rasmus Kyng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 59 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 34 | |
| 15 | Algorithms for Lipschitz Learning on Graphs | 7 |
| 16 | Fast, provable algorithms for Isotonic regression in all ℓ- p -norms | 9 |
| 17 | 50 |
About Rasmus Kyng
Rasmus Kyng is a scholar working on Computational Mathematics, Statistics and Probability and Computational Theory and Mathematics, having authored 17 papers that have together received 217 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (12 papers), Markov Chains and Monte Carlo Methods (7 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (122 citations), Computational Mathematics (3 citations) and Statistics and Probability (39 citations). Rasmus Kyng has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Sushant Sachdeva, Richard Peng, Anup Rao, Maximilian Probst Gutenberg, Yang P. Liu, Li Chen, Daniel A. Spielman, Michael B. Cohen, Gary L. Miller and Shen Xu. Their work appears in journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.
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.