Émilie Lebarbier
- Global and Planetary Change top 10%
- Statistics and Probability top 5%
- Ecology
- Artificial Intelligence
- Nature and Landscape Conservation
- Co-authors
- Marc LaviellePierre PetitgasJacques MasséYann GuédonYves CaraglioSimon BenhamouMarie‐Pierre ÉtienneCéline Meredieu
- Topics
- GNSS positioning and interference (4 papers)Statistical Methods and Inference (3 papers)Hydrology and Drought Analysis (3 papers)
In The Last Decade
Émilie Lebarbier
17 papers receiving 393 citations
Peers
Comparison fields: 5 of 82
- Global and Planetary Change 105
- Statistics and Probability 99
- Ecology 73
- Artificial Intelligence 65
- Nature and Landscape Conservation 41
Countries citing papers authored by Émilie Lebarbier
This map shows the geographic impact of Émilie Lebarbier'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 Émilie Lebarbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Émilie Lebarbier more than expected).
Fields of papers citing papers by Émilie Lebarbier
This network shows the impact of papers produced by Émilie Lebarbier. 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 Émilie Lebarbier. The network helps show where Émilie Lebarbier may publish in the future.
Co-authorship network of co-authors of Émilie Lebarbier
This figure shows the co-authorship network connecting the top 25 collaborators of Émilie Lebarbier. A scholar is included among the top collaborators of Émilie Lebarbier 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 Émilie Lebarbier. Émilie Lebarbier 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 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 42 | |
| 8 | 12 | |
| 9 | A ROBUST APPROACH TO MULTIPLE CHANGE-POINT ESTIMATION IN AN AR(1) PROCESS | 2 |
| 10 | Joint segmentation of multiple GPS coordinate series | 5 |
| 11 | 9 | |
| 12 | 12 | |
| 13 | 42 | |
| 14 | 119 | |
| 15 | Le critère BIC : fondements théoriques et interprétation | 5 |
| 16 | 45 | |
| 17 | 83 |
About Émilie Lebarbier
Émilie Lebarbier is a scholar working on Statistics and Probability, Nature and Landscape Conservation and Global and Planetary Change, having authored 17 papers that have together received 412 indexed citations. Recurring topics across this work include GNSS positioning and interference (4 papers), Statistical Methods and Inference (3 papers) and Hydrology and Drought Analysis (3 papers). The work is most often cited by research in Statistics and Probability (99 citations), Global and Planetary Change (105 citations) and Statistics, Probability and Uncertainty (30 citations). Émilie Lebarbier has collaborated with scholars based in France, Czechia and Belgium. Frequent co-authors include Marc Lavielle, Pierre Petitgas, Jacques Massé, Yann Guédon, Yves Caraglio, Simon Benhamou, Marie‐Pierre Étienne, Céline Meredieu, Patrick Heuret and Simon Chamaillé‐Jammes. Their work appears in journals such as Journal of Animal Ecology, Journal of Theoretical Biology and Remote Sensing.
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.