Luis Escauriaza
- Mathematical Physics top 0.5%
- Applied Mathematics top 0.5%
- Computational Theory and Mathematics top 0.5%
- Control and Systems Engineering top 2%
- Computational Mechanics top 10%
- Co-authors
- Vladimír ŠverákG. SerëginLuis VegaCarlos E. KenigGustavo PonceEugene B. FabesJavier FernándezGregory C. Verchota
- Topics
- Advanced Mathematical Modeling in Engineering (29 papers)Numerical methods in inverse problems (19 papers)Nonlinear Partial Differential Equations (15 papers)
- Journals
- Communications in Mathematical PhysicsCommunications on Pure and Applied MathematicsJournal of Mathematical Analysis and Applications
- Partner nations
- SpainUnited StatesRussia
In The Last Decade
Luis Escauriaza
45 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Mathematical Physics 1.2k
- Applied Mathematics 1.1k
- Computational Theory and Mathematics 703
- Control and Systems Engineering 559
- Computational Mechanics 141
Countries citing papers authored by Luis Escauriaza
This map shows the geographic impact of Luis Escauriaza'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 Luis Escauriaza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Escauriaza more than expected).
Fields of papers citing papers by Luis Escauriaza
This network shows the impact of papers produced by Luis Escauriaza. 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 Luis Escauriaza. The network helps show where Luis Escauriaza may publish in the future.
Co-authorship network of co-authors of Luis Escauriaza
This figure shows the co-authorship network connecting the top 25 collaborators of Luis Escauriaza. A scholar is included among the top collaborators of Luis Escauriaza 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 Luis Escauriaza. Luis Escauriaza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 22 | |
| 3 | 70 | |
| 4 | 29 | |
| 5 | 2 | |
| 6 | 29 | |
| 7 | 35 | |
| 8 | 54 | |
| 9 | 11 | |
| 10 | 8 | |
| 11 | 35 | |
| 12 | L 3,∞ -solutions of the Navier-Stokes equations and backward uniquenessbreakdown → | 319 |
| 13 | 60 | |
| 14 | 64 | |
| 15 | 128 | |
| 16 | 34 | |
| 17 | 9 | |
| 18 | 7 | |
| 19 | 33 | |
| 20 | 64 |
About Luis Escauriaza
Luis Escauriaza is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (29 papers), Numerical methods in inverse problems (19 papers) and Nonlinear Partial Differential Equations (15 papers). The work is most often cited by research in Mathematical Physics (1.2k citations), Applied Mathematics (1.1k citations) and Computational Theory and Mathematics (703 citations). Luis Escauriaza has collaborated with scholars based in Spain, United States and Russia. Frequent co-authors include Vladimír Šverák, G. Serëgin, Luis Vega, Carlos E. Kenig, Gustavo Ponce, Eugene B. Fabes, Javier Fernández, Gregory C. Verchota, Jin Keun Seo and Gengsheng Wang. Their work appears in journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Journal of Mathematical Analysis and 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.