François Perron
Impact in
- Statistics and Probability top 1%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
-
- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Methods and Inference 14
- Statistical Distribution Estimation and Applications 12
- Advanced Statistical Methods and Models 11
- Statistical Methods and Bayesian Inference 6
- Markov Chains and Monte Carlo Methods 5
- Random Matrices and Applications 4
-
- Bayesian Methods and Mixture Models 9
- Co-authors
- Éric Marchand (9 shared papers)Bo Cai (2 shared papers)Renate Meyer (2 shared papers)Bimal K. Sinha (2 shared papers)Kerrie Mengersen (1 shared paper)Yves F. Atchadé (2 shared papers)N. Giri (2 shared papers)Johan Segers (1 shared paper)
- Journals
- Journal of Multivariate Analysis (6 papers)Canadian Journal of Statistics (3 papers)Journal of Statistical Planning and Inference (2 papers)Bernoulli (1 paper)Electronic Journal of Statistics (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
François Perron
35 papers receiving 371 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 273
- Statistics, Probability and Uncertainty 61
- Artificial Intelligence 116
- Finance 33
- Mathematical Physics 26
Countries citing papers authored by François Perron
This map shows the geographic impact of François Perron'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 Perron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites François Perron more than expected).
Fields of papers citing papers by François Perron
This network shows the impact of papers produced by François Perron. 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 Perron. The network helps show where François Perron may publish in the future.
Co-authors
The 25 scholars most cited alongside François Perron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 32 | |
| 2 | 2008 | 30 | |
| 3 | 2008 | 29 | |
| 4 | 2003 | 26 | |
| 5 | 2001 | 25 | |
| 6 | 2001 | 23 | |
| 7 | 1992 | 22 | |
| 8 | Optimal Hoeffding bounds for discrete reversible Markov chains | 2012 | 22 |
| 9 | 2011 | 20 | |
| 10 | 2004 | 17 | |
| 11 | 2002 | 16 | |
| 12 | 1990 | 12 | |
| 13 | 1990 | 11 | |
| 14 | 2003 | 9 | |
| 15 | 1999 | 9 | |
| 16 | Improving on the Independent Metropolis-Hastings algorithm | 2005 | 9 |
| 17 | 2003 | 9 | |
| 18 | 2008 | 8 | |
| 19 | 2007 | 7 | |
| 20 | 2011 | 6 |
About François Perron
François Perron is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Statistics, Probability and Uncertainty and Mathematical Physics, having authored 38 papers that have together received 387 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Statistical Distribution Estimation and Applications (12 papers), Advanced Statistical Methods and Models (11 papers), Bayesian Methods and Mixture Models (9 papers), Statistical Methods and Bayesian Inference (6 papers), Markov Chains and Monte Carlo Methods (5 papers), Financial Risk and Volatility Modeling (5 papers) and Random Matrices and Applications (4 papers). The work is most often cited by research in Statistics and Probability (273 citations), Statistics, Probability and Uncertainty (61 citations), Artificial Intelligence (116 citations), Finance (33 citations) and Mathematical Physics (26 citations). François Perron has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Éric Marchand, Bo Cai, Renate Meyer, Bimal K. Sinha, Kerrie Mengersen, Yves F. Atchadé, N. Giri, Johan Segers, A. Joffe and Mohammad Jafari Jozani. Their work appears in journals such as Journal of Multivariate Analysis, Canadian Journal of Statistics, Journal of Statistical Planning and Inference, Bernoulli and Electronic Journal of Statistics.
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.