Peggy Cénac
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Markov Chains and Monte Carlo Methods
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- Stochastic processes and statistical mechanics
Papers in
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- Bayesian Methods and Mixture Models 3
- Advanced Clustering Algorithms Research 2
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- Statistical Methods and Inference 6
- Co-authors
- Hervé Cardot (5 shared papers)Pierre-André Zitt (2 shared papers)Jean-Marie Monnez (2 shared papers)Guy Fayolle (4 shared papers)Bernard Bercu (3 shared papers)Brigitte Chauvin (2 shared papers)Véronique Maume‐Deschamps (1 shared paper)Clémentine Prieur (1 shared paper)
- Journals
- Bernoulli (2 papers)Journal of Applied Probability (2 papers)Journal of Theoretical Probability (2 papers)ESAIM Probability and Statistics (2 papers)Random Structures and Algorithms (1 paper)
- Partner nations
- FranceUnited StatesIndia
In The Last Decade
Peggy Cénac
16 papers receiving 131 citations
Peers
Comparison fields: 5 of 51
- Statistics and Probability 73
- Mathematical Physics 17
- Statistics, Probability and Uncertainty 13
- Artificial Intelligence 56
- Management Science and Operations Research 12
Countries citing papers authored by Peggy Cénac
This map shows the geographic impact of Peggy Cénac'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 Peggy Cénac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peggy Cénac more than expected).
Fields of papers citing papers by Peggy Cénac
This network shows the impact of papers produced by Peggy Cénac. 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 Peggy Cénac. The network helps show where Peggy Cénac may publish in the future.
Co-authors
The 8 scholars most cited alongside Peggy Cénac, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 60 | |
| 2 | 2011 | 36 | |
| 3 | 2016 | 8 | |
| 4 | 2012 | 7 | |
| 5 | 2009 | 6 | |
| 6 | Fast clustering of large datasets with sequential $k$-medians : a stochastic gradient approach | 2011 | 4 |
| 7 | 2005 | 4 | |
| 8 | 2018 | 2 | |
| 9 | Dynamical Systems in the Analysis of Biological Sequences | 2004 | 2 |
| 10 | 2011 | 2 | |
| 11 | 2013 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2012 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2008 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2017 | 0 | |
| 18 | Convergence des moments dans le théorème de la limite centrale presque sûr pour les martingales vectorielles | 2006 | 0 |
About Peggy Cénac
Peggy Cénac is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Finance and Management Science and Operations Research, having authored 18 papers that have together received 137 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Stochastic processes and financial applications (5 papers), Stochastic processes and statistical mechanics (4 papers), Probability and Risk Models (4 papers), Fractal and DNA sequence analysis (3 papers), Bayesian Methods and Mixture Models (3 papers), Advanced Clustering Algorithms Research (2 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Statistics and Probability (73 citations), Mathematical Physics (17 citations), Statistics, Probability and Uncertainty (13 citations), Artificial Intelligence (56 citations) and Management Science and Operations Research (12 citations). Peggy Cénac has collaborated with scholars based in France, United States and India. Frequent co-authors include Hervé Cardot, Pierre-André Zitt, Jean-Marie Monnez, Guy Fayolle, Bernard Bercu, Brigitte Chauvin, Véronique Maume‐Deschamps and Clémentine Prieur. Their work appears in journals such as Bernoulli, Journal of Applied Probability, Journal of Theoretical Probability, ESAIM Probability and Statistics 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.