Clémentine Prieur
- Statistics, Probability and Uncertainty top 0.5%
- Statistics and Probability top 1%
- Finance top 5%
- Global and Planetary Change top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jérôme DedeckerAlexandre JanonMaëlle NodetJosé R. LeónThierry KleinPaul DoukhanGabriel LangSana Louhichi
- Topics
- Probabilistic and Robust Engineering Design (28 papers)Statistical Methods and Inference (12 papers)Stochastic processes and financial applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaWater Resources ResearchInternational Journal for Numerical Methods in Engineering
- Partner nations
- FranceUnited StatesVenezuela
In The Last Decade
Clémentine Prieur
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Statistics, Probability and Uncertainty 330
- Statistics and Probability 272
- Finance 251
- Global and Planetary Change 180
- Artificial Intelligence 159
Countries citing papers authored by Clémentine Prieur
This map shows the geographic impact of Clémentine Prieur'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 Clémentine Prieur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clémentine Prieur more than expected).
Fields of papers citing papers by Clémentine Prieur
This network shows the impact of papers produced by Clémentine Prieur. 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 Clémentine Prieur. The network helps show where Clémentine Prieur may publish in the future.
Co-authorship network of co-authors of Clémentine Prieur
This figure shows the co-authorship network connecting the top 25 collaborators of Clémentine Prieur. A scholar is included among the top collaborators of Clémentine Prieur 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 Clémentine Prieur. Clémentine Prieur 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 | 0 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | 6 | |
| 10 | Gradient-based dimension reduction of multivariate vector-valued functions | 50 |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 29 | |
| 19 | 5 | |
| 20 | 1 |
About Clémentine Prieur
Clémentine Prieur is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Finance, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (28 papers), Statistical Methods and Inference (12 papers) and Stochastic processes and financial applications (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (330 citations), Statistics and Probability (272 citations) and Finance (251 citations). Clémentine Prieur has collaborated with scholars based in France, United States and Venezuela. Frequent co-authors include Jérôme Dedecker, Alexandre Janon, Maëlle Nodet, José R. León, Thierry Klein, Paul Doukhan, Gabriel Lang, Sana Louhichi, Agnès Lagnoux and Anne‐Catherine Favre. Their work appears in journals such as SHILAP Revista de lepidopterología, Water Resources Research and International Journal for Numerical Methods in Engineering.
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.