Russ Bubley
- Statistics and Probability top 2%
- Mathematical Physics top 10%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Co-authors
- Martin DyerCatherine GreenhillMark Jerrum
- Topics
- Markov Chains and Monte Carlo Methods (8 papers)Stochastic processes and statistical mechanics (4 papers)Bayesian Methods and Mixture Models (3 papers)
- Partner nations
- United Kingdom
In The Last Decade
Russ Bubley
10 papers receiving 310 citations
Peers
Comparison fields: 5 of 67
- Statistics and Probability 191
- Mathematical Physics 112
- Artificial Intelligence 106
- Computational Theory and Mathematics 101
- Computer Networks and Communications 45
Countries citing papers authored by Russ Bubley
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).
Fields of papers citing papers by Russ Bubley
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.
Co-authorship network of co-authors of Russ Bubley
This figure shows the co-authorship network connecting the top 25 collaborators of Russ Bubley. A scholar is included among the top collaborators of Russ Bubley 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 Russ Bubley. Russ Bubley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 147 | |
| 2 | 23 | |
| 3 | Randomized Algorithms | 1 |
| 4 | 82 | |
| 5 | 23 | |
| 6 | 21 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 24 |
About Russ Bubley
Russ Bubley is a scholar working on Statistics and Probability, Mathematical Physics and Applied Mathematics, having authored 10 papers that have together received 347 indexed citations. Recurring topics across this 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). The work is most often cited by research in Statistics and Probability (191 citations), Mathematical Physics (112 citations) and Discrete Mathematics and Combinatorics (35 citations). Russ Bubley has collaborated with scholars based in United Kingdom. Frequent co-authors include Martin Dyer, Catherine Greenhill and Mark Jerrum. Their work appears in journals such as SIAM Journal on Computing, Discrete Mathematics and Random Structures and Algorithms.
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.