Randal Douc
Impact in
- Statistics and Probability top 0.5%
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 1%
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
Papers in
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- Markov Chains and Monte Carlo Methods 16
- Statistical Methods and Inference 11
- Statistical Methods and Bayesian Inference 4
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- Bayesian Methods and Mixture Models 17
- Target Tracking and Data Fusion in Sensor Networks 13
- Bayesian Modeling and Causal Inference 5
- Co-authors
- Olivier Cappé (4 shared papers)Éric Moulines (22 shared papers)Arnaud Guillin (5 shared papers)Jimmy Olsson (10 shared papers)Christian P. Robert (5 shared papers)Philippe Soulier (3 shared papers)Gersende Fort (2 shared papers)David S. Stoffer (2 shared papers)
In The Last Decade
Randal Douc
43 papers receiving 1.6k citations
Randal Douc's Hit Papers
Peers
Comparison fields: 5 of 117
- Statistics and Probability 665
- Artificial Intelligence 873
- Finance 234
- Mathematical Physics 185
- Statistics, Probability and Uncertainty 96
Countries citing papers authored by Randal Douc
This map shows the geographic impact of Randal Douc'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 Randal Douc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randal Douc more than expected).
Fields of papers citing papers by Randal Douc
This network shows the impact of papers produced by Randal Douc. 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 Randal Douc. The network helps show where Randal Douc may publish in the future.
Co-authors
The 19 scholars most cited alongside Randal Douc, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of resampling schemes for particle filtering Hit paper breakdown → | 2005 | 542 |
| 2 | Adaptive Importance Sampling in General Mixture Classes | 2007 | 116 |
| 3 | 2008 | 94 | |
| 4 | 2011 | 87 | |
| 5 | 2018 | 86 | |
| 6 | 2008 | 82 | |
| 7 | 2008 | 75 | |
| 8 | 2004 | 72 | |
| 9 | 2001 | 58 | |
| 10 | 2007 | 53 | |
| 11 | 2014 | 53 | |
| 12 | 2013 | 47 | |
| 13 | Nonlinear time series: theory, methods and applications with R examples | 2014 | 45 |
| 14 | Consistency of the maximum likelihood estimator for general hidden markov models | 2011 | 34 |
| 15 | 2011 | 27 | |
| 16 | Long-term stability of sequential Monte Carlo methods under verifiable conditions | 2013 | 25 |
| 17 | 2007 | 24 | |
| 18 | 2007 | 22 | |
| 19 | 2008 | 20 | |
| 20 | 2012 | 20 |
About Randal Douc
Randal Douc is a scholar working on Statistics and Probability, Artificial Intelligence, Finance, Mathematical Physics and Computer Networks and Communications, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (17 papers), Markov Chains and Monte Carlo Methods (16 papers), Target Tracking and Data Fusion in Sensor Networks (13 papers), Statistical Methods and Inference (11 papers), Financial Risk and Volatility Modeling (11 papers), Stochastic processes and statistical mechanics (8 papers), Bayesian Modeling and Causal Inference (5 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Statistics and Probability (665 citations), Artificial Intelligence (873 citations), Finance (234 citations), Mathematical Physics (185 citations) and Statistics, Probability and Uncertainty (96 citations). Randal Douc has collaborated with scholars based in France, Sweden and Canada. Frequent co-authors include Olivier Cappé, Éric Moulines, Arnaud Guillin, Jimmy Olsson, Christian P. Robert, Philippe Soulier, Gersende Fort, David S. Stoffer, Catherine Matias and Jeffrey S. Rosenthal. Their work appears in journals such as Stochastic Processes and their Applications, Bernoulli, The Annals of Applied Probability, The Annals of Statistics 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.