Eva Sincich
- Mathematical Physics top 5%
- Computational Theory and Mathematics top 5%
- Mechanics of Materials
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Giovanni AlessandriniRomina GaburroAngkana RülandBožidar ŠarlerMaarten V. de HoopSergio VessellaYannick FischerJuliette Leblond
- Topics
- Numerical methods in inverse problems (22 papers)Advanced Mathematical Modeling in Engineering (14 papers)Composite Material Mechanics (9 papers)
In The Last Decade
Eva Sincich
25 papers receiving 231 citations
Peers
Comparison fields: 5 of 29
- Mathematical Physics 194
- Computational Theory and Mathematics 91
- Mechanics of Materials 87
- Biomedical Engineering 61
- Electrical and Electronic Engineering 45
Countries citing papers authored by Eva Sincich
This map shows the geographic impact of Eva Sincich'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 Eva Sincich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Sincich more than expected).
Fields of papers citing papers by Eva Sincich
This network shows the impact of papers produced by Eva Sincich. 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 Eva Sincich. The network helps show where Eva Sincich may publish in the future.
Co-authorship network of co-authors of Eva Sincich
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Sincich. A scholar is included among the top collaborators of Eva Sincich 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 Eva Sincich. Eva Sincich 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 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | Inverse problem for the Helmholtz equation with Cauchy data: reconstruction with conditional well-posedness driven iterative regularization | 11 |
| 8 | 0 | |
| 9 | 13 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | Non-singular method of fundamental solutions for three dimensional Stokes flow problem | 2 |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | 34 | |
| 18 | 18 | |
| 19 | 18 | |
| 20 | 17 |
About Eva Sincich
Eva Sincich is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Mechanics of Materials, having authored 27 papers that have together received 246 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (22 papers), Advanced Mathematical Modeling in Engineering (14 papers) and Composite Material Mechanics (9 papers). The work is most often cited by research in Mathematical Physics (194 citations), Computational Theory and Mathematics (91 citations) and Mechanics of Materials (87 citations). Eva Sincich has collaborated with scholars based in Italy, Austria and Ireland. Frequent co-authors include Giovanni Alessandrini, Romina Gaburro, Angkana Rüland, Božidar Šarler, Maarten V. de Hoop, Sergio Vessella, Yannick Fischer, Juliette Leblond, Mourad Sini and J. R. Partington. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Applied Mathematics and Computation.
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.