Pierre Del Moral
- Artificial Intelligence top 0.5%
- Statistics and Probability top 0.2%
- Mathematical Physics top 2%
- Finance top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Co-authors
- Randal DoucAjay JasraLaurent MicloFrédéric CérouArnaud GuyaderAlice GuionnetJosselin GarnierTeddy Furon
- Topics
- Stochastic processes and statistical mechanics (38 papers)Markov Chains and Monte Carlo Methods (37 papers)Target Tracking and Data Fusion in Sensor Networks (36 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEMathematics of Computation
- Partner nations
- FranceAustraliaUnited Kingdom
In The Last Decade
Pierre Del Moral
153 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Artificial Intelligence 2.1k
- Statistics and Probability 1.6k
- Mathematical Physics 544
- Finance 527
- Statistics, Probability and Uncertainty 428
Countries citing papers authored by Pierre Del Moral
This map shows the geographic impact of Pierre Del Moral'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 Del Moral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Del Moral more than expected).
Fields of papers citing papers by Pierre Del Moral
This network shows the impact of papers produced by Pierre Del Moral. 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 Del Moral. The network helps show where Pierre Del Moral may publish in the future.
Co-authorship network of co-authors of Pierre Del Moral
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Del Moral. A scholar is included among the top collaborators of Pierre Del Moral 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 Del Moral. Pierre Del Moral 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 | 2 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | Exponential mixing properties for time inhomogeneous diffusion processes with killing | 5 |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 33 | |
| 13 | On Feynman-Kac and particle Markov chain Monte Carlo models | 1 |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | 433 | |
| 19 | 26 | |
| 20 | Filtrage non-linéaire: résolution particulaire à la Monte Carlo | 2 |
About Pierre Del Moral
Pierre Del Moral is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 163 papers that have together received 4.4k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (38 papers), Markov Chains and Monte Carlo Methods (37 papers) and Target Tracking and Data Fusion in Sensor Networks (36 papers). The work is most often cited by research in Statistics and Probability (1.6k citations), Artificial Intelligence (2.1k citations) and Mathematical Physics (544 citations). Pierre Del Moral has collaborated with scholars based in France, Australia and United Kingdom. Frequent co-authors include Randal Douc, Ajay Jasra, Laurent Miclo, Frédéric Cérou, Arnaud Guyader, Alice Guionnet, Josselin Garnier, Teddy Furon, Philip Protter and Jean Jacod. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Mathematics of Computation.
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.