Russ Bubley

About

Russ Bubley is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Russ Bubley has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 4 papers in Mathematical Physics. Recurrent topics in Russ Bubley’s work include Markov Chains and Monte Carlo Methods (8 papers), Stochastic processes and statistical mechanics (4 papers) and Bayesian Methods and Mixture Models (3 papers). Russ Bubley is often cited by papers focused on Markov Chains and Monte Carlo Methods (8 papers), Stochastic processes and statistical mechanics (4 papers) and Bayesian Methods and Mixture Models (3 papers). Russ Bubley collaborates with scholars based in United Kingdom. Russ Bubley's co-authors include Martin Dyer, Catherine Greenhill and Mark Jerrum and has published in prestigious journals such as SIAM Journal on Computing, Discrete Mathematics and Random Structures and Algorithms.

In The Last Decade

Co-authorship network of co-authors of Russ Bubley i

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Fields of papers citing papers by Russ Bubley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Russ Bubley

Since Specialization

Citations

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