Maria J. Esteban
- Applied Mathematics top 0.2%
- Computational Theory and Mathematics top 0.5%
- Mathematical Physics top 1%
- Control and Systems Engineering top 5%
- Computational Mechanics top 5%
- Co-authors
- Benoı̂t DesjardinsJean DolbeaultÉric SéréPierre‐Louis LionsCéline GrandmontMichael LossAntonin ChambolleVladimir Georgiev
- Topics
- Nonlinear Partial Differential Equations (43 papers)Advanced Mathematical Modeling in Engineering (36 papers)Numerical methods in inverse problems (23 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaCommunications in Mathematical Physics
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Maria J. Esteban
75 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 89
- Applied Mathematics 1.3k
- Computational Theory and Mathematics 1.0k
- Mathematical Physics 858
- Control and Systems Engineering 311
- Computational Mechanics 233
Countries citing papers authored by Maria J. Esteban
This map shows the geographic impact of Maria J. Esteban'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 Maria J. Esteban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria J. Esteban more than expected).
Fields of papers citing papers by Maria J. Esteban
This network shows the impact of papers produced by Maria J. Esteban. 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 Maria J. Esteban. The network helps show where Maria J. Esteban may publish in the future.
Co-authorship network of co-authors of Maria J. Esteban
This figure shows the co-authorship network connecting the top 25 collaborators of Maria J. Esteban. A scholar is included among the top collaborators of Maria J. Esteban 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 Maria J. Esteban. Maria J. Esteban 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 | 1 | |
| 3 | 8 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | Branches of non-symmetric critical points and symmetry breaking in nonlinear elliptic partial differential equations | 11 |
| 7 | Spectral estimates on the sphere | 17 |
| 8 | 7 | |
| 9 | 38 | |
| 10 | 19 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 24 | |
| 14 | 32 | |
| 15 | 11 | |
| 16 | 21 | |
| 17 | 26 | |
| 18 | 31 | |
| 19 | 32 | |
| 20 | 184 |
About Maria J. Esteban
Maria J. Esteban is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (43 papers), Advanced Mathematical Modeling in Engineering (36 papers) and Numerical methods in inverse problems (23 papers). The work is most often cited by research in Applied Mathematics (1.3k citations), Mathematical Physics (858 citations) and Computational Theory and Mathematics (1.0k citations). Maria J. Esteban has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Benoı̂t Desjardins, Jean Dolbeault, Éric Séré, Pierre‐Louis Lions, Céline Grandmont, Michael Loss, Antonin Chambolle, Vladimir Georgiev, Alexander Quaas and Henri Berestycki. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Communications in Mathematical Physics.
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.