Soledad Le Clainche
- Computational Mechanics top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Aerospace Engineering top 2%
- Environmental Engineering top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- José M. VegaRicardo VinuesaJulio SoriaVassilios TheofilisEsteban FerrerPedro ParedesMiguel HermannsJose Perez
- Topics
- Fluid Dynamics and Turbulent Flows (50 papers)Fluid Dynamics and Vibration Analysis (49 papers)Model Reduction and Neural Networks (46 papers)
In The Last Decade
Soledad Le Clainche
87 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computational Mechanics 1.2k
- Statistical and Nonlinear Physics 885
- Aerospace Engineering 544
- Environmental Engineering 213
- Statistics, Probability and Uncertainty 162
Countries citing papers authored by Soledad Le Clainche
This map shows the geographic impact of Soledad Le Clainche'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 Soledad Le Clainche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soledad Le Clainche more than expected).
Fields of papers citing papers by Soledad Le Clainche
This network shows the impact of papers produced by Soledad Le Clainche. 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 Soledad Le Clainche. The network helps show where Soledad Le Clainche may publish in the future.
Co-authorship network of co-authors of Soledad Le Clainche
This figure shows the co-authorship network connecting the top 25 collaborators of Soledad Le Clainche. A scholar is included among the top collaborators of Soledad Le Clainche 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 Soledad Le Clainche. Soledad Le Clainche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 8 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 47 | |
| 19 | Higher Order Dynamic Mode Decompositionbreakdown → | 257 |
| 20 | Spatio-temporal Koopman Decomposition in offshore wind turbines | 1 |
About Soledad Le Clainche
Soledad Le Clainche is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Aerospace Engineering, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (50 papers), Fluid Dynamics and Vibration Analysis (49 papers) and Model Reduction and Neural Networks (46 papers). The work is most often cited by research in Statistical and Nonlinear Physics (885 citations), Computational Mechanics (1.2k citations) and Statistics, Probability and Uncertainty (162 citations). Soledad Le Clainche has collaborated with scholars based in Spain, Sweden and Australia. Frequent co-authors include José M. Vega, Ricardo Vinuesa, Julio Soria, Vassilios Theofilis, Esteban Ferrer, Pedro Paredes, Miguel Hermanns, Jose Perez, Jiaqing Kou and Sergio Hoyas. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Expert Systems with Applications.
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.