Pierre Pudlo
- Genetics top 2%
- Ecology top 5%
- Molecular Biology
- Statistics and Probability top 1%
- Artificial Intelligence top 5%
- Co-authors
- Jean‐Michel MarinArnaud EstoupMathieu GautierJean‐Marie CornuetChristian P. RobertRaphaël LebloisRobin RyderKarim Gharbi
- Topics
- Markov Chains and Monte Carlo Methods (15 papers)Bayesian Methods and Mixture Models (14 papers)Stochastic processes and statistical mechanics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- FranceUnited KingdomAustralia
In The Last Decade
Pierre Pudlo
25 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Genetics 1.1k
- Ecology 518
- Molecular Biology 508
- Statistics and Probability 371
- Artificial Intelligence 364
Countries citing papers authored by Pierre Pudlo
This map shows the geographic impact of Pierre Pudlo'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 Pierre Pudlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Pudlo more than expected).
Fields of papers citing papers by Pierre Pudlo
This network shows the impact of papers produced by Pierre Pudlo. 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 Pierre Pudlo. The network helps show where Pierre Pudlo may publish in the future.
Co-authorship network of co-authors of Pierre Pudlo
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Pudlo. A scholar is included among the top collaborators of Pierre Pudlo 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 Pierre Pudlo. Pierre Pudlo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 16 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields | 7 |
| 8 | ABC model choice via random forests | 5 |
| 9 | 56 | |
| 10 | 8 | |
| 11 | DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite databreakdown → | 832 |
| 12 | Bayesian computation via empirical likelihood. | 49 |
| 13 | 163 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | Approximate Bayesian computation via empirical likelihood | 2 |
| 17 | 81 | |
| 18 | 222 | |
| 19 | 1 | |
| 20 | Approximate Bayesian computational methodsbreakdown → | 410 |
About Pierre Pudlo
Pierre Pudlo is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (15 papers), Bayesian Methods and Mixture Models (14 papers) and Stochastic processes and statistical mechanics (6 papers). The work is most often cited by research in Statistics and Probability (371 citations), Ecological Modeling (191 citations) and Genetics (1.1k citations). Pierre Pudlo has collaborated with scholars based in France, United Kingdom and Australia. Frequent co-authors include Jean‐Michel Marin, Arnaud Estoup, Mathieu Gautier, Jean‐Marie Cornuet, Christian P. Robert, Raphaël Leblois, Robin Ryder, Karim Gharbi, Timothée Cezard and Carole Kerdelhué. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.
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.