Carmen Cortázar
- Applied Mathematics top 1%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 5%
- Numerical Analysis top 5%
- Modeling and Simulation top 2%
- Co-authors
- Manuel ElguetaJulio D. RossiNoemí WolanskiManuel del PinoPatricio FelmerJorge García-MeliánMartin ChuaquiSalomé Martínez
- Topics
- Advanced Mathematical Modeling in Engineering (34 papers)Nonlinear Partial Differential Equations (32 papers)Stability and Controllability of Differential Equations (17 papers)
In The Last Decade
Carmen Cortázar
44 papers receiving 706 citations
Peers
Comparison fields: 5 of 38
- Applied Mathematics 660
- Computational Theory and Mathematics 458
- Mathematical Physics 237
- Numerical Analysis 146
- Modeling and Simulation 119
Countries citing papers authored by Carmen Cortázar
This map shows the geographic impact of Carmen Cortázar'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 Carmen Cortázar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Cortázar more than expected).
Fields of papers citing papers by Carmen Cortázar
This network shows the impact of papers produced by Carmen Cortázar. 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 Carmen Cortázar. The network helps show where Carmen Cortázar may publish in the future.
Co-authorship network of co-authors of Carmen Cortázar
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Cortázar. A scholar is included among the top collaborators of Carmen Cortázar 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 Carmen Cortázar. Carmen Cortázar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 30 | |
| 8 | Random walks and the porous medium equation. | 3 |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 42 | |
| 12 | 90 | |
| 13 | 37 | |
| 14 | 34 | |
| 15 | 27 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | Uniqueness and non uniqueness of the solutions of a mixed boundary value problem for the porous medium equation | 4 |
| 20 | 15 |
About Carmen Cortázar
Carmen Cortázar is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 48 papers that have together received 801 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (34 papers), Nonlinear Partial Differential Equations (32 papers) and Stability and Controllability of Differential Equations (17 papers). The work is most often cited by research in Applied Mathematics (660 citations), Computational Theory and Mathematics (458 citations) and Numerical Analysis (146 citations). Carmen Cortázar has collaborated with scholars based in Chile, Spain and Argentina. Frequent co-authors include Manuel Elgueta, Julio D. Rossi, Noemí Wolanski, Manuel del Pino, Patricio Felmer, Jorge García-Melián, Martin Chuaqui, Salomé Martínez, Jérôme Coville and Monica Musso. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Archive for Rational Mechanics and Analysis and Journal of Differential Equations.
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.