Rasmus Kyng

16 papers and 172 indexed citations i.

About

Rasmus Kyng is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Rasmus Kyng has authored 16 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 10 papers in Statistics and Probability and 4 papers in Artificial Intelligence. Recurrent topics in Rasmus Kyng’s work include Combinatorial Optimization and Complexity Theory (11 papers), Markov Chains and Monte Carlo Methods (8 papers) and Optimization and Search Problems (4 papers). Rasmus Kyng is often cited by papers focused on Combinatorial Optimization and Complexity Theory (11 papers), Markov Chains and Monte Carlo Methods (8 papers) and Optimization and Search Problems (4 papers). Rasmus Kyng collaborates with scholars based in United States, Switzerland and Canada. Rasmus Kyng's co-authors include Sushant Sachdeva, Richard Peng, Daniel A. Spielman, Maximilian Probst Gutenberg, Yang P. Liu, Yin Tat Lee, Anup Rao, Li Chen, John Peebles and Zhao Song and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and Advances in Mathematics.

In The Last Decade

Co-authorship network of co-authors of Rasmus Kyng i

Fields of papers citing papers by Rasmus Kyng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Rasmus Kyng

Since Specialization
Citations

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).

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.

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