John Peebles

12 papers and 117 indexed citations i.

About

John Peebles is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, John Peebles has authored 12 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 7 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in John Peebles’s work include Markov Chains and Monte Carlo Methods (7 papers), Combinatorial Optimization and Complexity Theory (5 papers) and Machine Learning and Algorithms (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 Machine Learning and Algorithms (3 papers). John Peebles collaborates with scholars based in United States, Israel and Germany. John Peebles's co-authors include Anup Rao, Richard Peng, Jonathan A. Kelner, Aaron Sidford, Michael B. Cohen, Adrian Vladu, Rasmus Kyng, Sushant Sachdeva, Themis Gouleakis and Ilias Diakonikolas and has published in prestigious journals such as SIAM Journal on Computing, Algorithmica and MPG.PuRe (Max Planck Society).

In The Last Decade

Co-authorship network of co-authors of John Peebles i

Fields of papers citing papers by John Peebles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Peebles. 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 John Peebles. The network helps show where John Peebles may publish in the future.

Countries citing papers authored by John Peebles

Since Specialization
Citations

This map shows the geographic impact of John Peebles'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 John Peebles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Peebles 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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