John Peebles
About
John Peebles has authored 12 papers that have received a total of 112 indexed citations.
This includes 8 papers in Statistics and Probability, 7 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. The topics of these papers are Markov Chains and Monte Carlo Methods (7 papers), Combinatorial Optimization and Complexity Theory (5 papers) and Graph theory and applications (3 papers). John Peebles is often cited by papers focused on Markov Chains and Monte Carlo Methods (7 papers), Combinatorial Optimization and Complexity Theory (5 papers) and Graph theory and applications (3 papers) and collaborates with scholars based in United States, Israel and Germany. John Peebles's co-authors include Aaron Sidford, Richard Peng, Jonathan A. Kelner, Anup Rao and Themis Gouleakis and has published in prestigious journals such as SIAM Journal on Computing and Algorithmica
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