Estelle Kuhn
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Automotive Engineering top 5%
- Genetics
- Electrical and Electronic Engineering
- Co-authors
- Marc LavielleChristophe ForgezStéphanie AllassonnièreGuy FriedrichPatrick LagonotteAlain TrouvéHervé MonodRenaud Rincent
- Topics
- Bayesian Methods and Mixture Models (8 papers)Statistical Methods and Bayesian Inference (7 papers)Statistical Methods and Inference (7 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Estelle Kuhn
22 papers receiving 900 citations
Peers
Comparison fields: 5 of 128
- Statistics and Probability 265
- Artificial Intelligence 164
- Automotive Engineering 129
- Genetics 122
- Electrical and Electronic Engineering 119
Countries citing papers authored by Estelle Kuhn
This map shows the geographic impact of Estelle Kuhn'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 Estelle Kuhn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Estelle Kuhn more than expected).
Fields of papers citing papers by Estelle Kuhn
This network shows the impact of papers produced by Estelle Kuhn. 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 Estelle Kuhn. The network helps show where Estelle Kuhn may publish in the future.
Co-authorship network of co-authors of Estelle Kuhn
This figure shows the co-authorship network connecting the top 25 collaborators of Estelle Kuhn. A scholar is included among the top collaborators of Estelle Kuhn 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 Estelle Kuhn. Estelle Kuhn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 36 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 67 | |
| 12 | 1 | |
| 13 | 54 | |
| 14 | 15 | |
| 15 | Bayesian Deformable Models Building via Stochastic Approximation Algorithm: A Convergence Study | 8 |
| 16 | 6 | |
| 17 | 112 | |
| 18 | 162 | |
| 19 | 351 | |
| 20 | Solar flare hazard to earth-orbiting vehicles | 7 |
About Estelle Kuhn
Estelle Kuhn is a scholar working on Statistics and Probability, Geometry and Topology and Artificial Intelligence, having authored 23 papers that have together received 922 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Statistics and Probability (265 citations), Automotive Engineering (129 citations) and Virology (28 citations). Estelle Kuhn has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Marc Lavielle, Christophe Forgez, Stéphanie Allassonnière, Guy Friedrich, Patrick Lagonotte, Alain Trouvé, Guy Friedrich, Hervé Monod, Renaud Rincent and Charlotte Baey. Their work appears in journals such as Journal of Power Sources, Genetics and Biometrika.
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.