François‐Xavier Briol
- Statistics and Probability top 5%
- Artificial Intelligence
- Numerical Analysis
- Mathematical Physics
- Aerospace Engineering
- Co-authors
- Chris J. OatesMark GirolamiMichael A. OsborneA.D. KennedyLester MackeyTakafumi NishinoThomas D. DunstanJackson Gorham
- Topics
- Markov Chains and Monte Carlo Methods (6 papers)Statistical Methods and Bayesian Inference (4 papers)Bayesian Methods and Mixture Models (4 papers)
- Journals
- Journal of the American Statistical AssociationJournal of the Royal Statistical Society Series B (Statistical Methodology)IEEE Transactions on Antennas and Propagation
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
François‐Xavier Briol
15 papers receiving 90 citations
Peers
Comparison fields: 5 of 38
- Statistics and Probability 51
- Artificial Intelligence 39
- Numerical Analysis 12
- Mathematical Physics 10
- Aerospace Engineering 9
Countries citing papers authored by François‐Xavier Briol
This map shows the geographic impact of François‐Xavier Briol'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 François‐Xavier Briol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François‐Xavier Briol more than expected).
Fields of papers citing papers by François‐Xavier Briol
This network shows the impact of papers produced by François‐Xavier Briol. 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 François‐Xavier Briol. The network helps show where François‐Xavier Briol may publish in the future.
Co-authorship network of co-authors of François‐Xavier Briol
This figure shows the co-authorship network connecting the top 25 collaborators of François‐Xavier Briol. A scholar is included among the top collaborators of François‐Xavier Briol 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 François‐Xavier Briol. François‐Xavier Briol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | Stein's Method Meets Statistics: A Review of Some Recent Developments | 3 |
| 8 | 1 | |
| 9 | Convergence Guarantees for Gaussian Process Approximations Under Several Observation Models | 2 |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | Probabilistic Integration | 2 |
| 15 | 12 | |
| 16 | 3 |
About François‐Xavier Briol
François‐Xavier Briol is a scholar working on Statistics and Probability, Numerical Analysis and Discrete Mathematics and Combinatorics, having authored 16 papers that have together received 98 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (6 papers), Statistical Methods and Bayesian Inference (4 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (51 citations), Numerical Analysis (12 citations) and Artificial Intelligence (39 citations). François‐Xavier Briol has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Chris J. Oates, Mark Girolami, Michael A. Osborne, A.D. Kennedy, Lester Mackey, Takafumi Nishino, Thomas D. Dunstan, Jackson Gorham, Gesine Reinert and Christophe Ley. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and IEEE Transactions on Antennas and Propagation.
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.