Alexander Quaas
- Applied Mathematics top 0.2%
- Computational Theory and Mathematics top 0.5%
- Mathematical Physics top 1%
- Numerical Analysis top 5%
- Modeling and Simulation top 5%
- Co-authors
- Patricio FelmerJinggang TanBoyan SirakovLeandro M. Del PezzoJorge García-MeliánMaria J. EstebanHuyuan ChenJérôme Busca
- Topics
- Nonlinear Partial Differential Equations (75 papers)Advanced Mathematical Modeling in Engineering (62 papers)Nonlinear Differential Equations Analysis (31 papers)
In The Last Decade
Alexander Quaas
71 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Applied Mathematics 1.4k
- Computational Theory and Mathematics 1.1k
- Mathematical Physics 622
- Numerical Analysis 110
- Modeling and Simulation 103
Countries citing papers authored by Alexander Quaas
This map shows the geographic impact of Alexander Quaas'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 Alexander Quaas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Quaas more than expected).
Fields of papers citing papers by Alexander Quaas
This network shows the impact of papers produced by Alexander Quaas. 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 Alexander Quaas. The network helps show where Alexander Quaas may publish in the future.
Co-authorship network of co-authors of Alexander Quaas
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Quaas. A scholar is included among the top collaborators of Alexander Quaas 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 Alexander Quaas. Alexander Quaas 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 | 7 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | Positive solutions of the nonlinear Schrödinger equation with the fractional Laplacianbreakdown → | 491 |
| 11 | 15 | |
| 12 | 34 | |
| 13 | 49 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | 13 | |
| 17 | 72 | |
| 18 | 3 | |
| 19 | 39 | |
| 20 | 12 |
About Alexander Quaas
Alexander Quaas is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (75 papers), Advanced Mathematical Modeling in Engineering (62 papers) and Nonlinear Differential Equations Analysis (31 papers). The work is most often cited by research in Applied Mathematics (1.4k citations), Mathematical Physics (622 citations) and Computational Theory and Mathematics (1.1k citations). Alexander Quaas has collaborated with scholars based in Chile, Spain and France. Frequent co-authors include Patricio Felmer, Jinggang Tan, Boyan Sirakov, Leandro M. Del Pezzo, Jorge García-Melián, Maria J. Esteban, Huyuan Chen, Jérôme Busca, Begoña Barrios and Moxun Tang. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society 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.