Eva Sincich

27 papers receiving 263 citations

Peers

Eva Sincich
Comparison fields: 5 of 29
  • Mathematical Physics 223
  • Computational Theory and Mathematics 109
  • Mechanics of Materials 106
  • Applied Mathematics 31
  • Modeling and Simulation 11
Replace Elisa Francini with:
Elisa Francini Italy
Michele Di Cristo Italy
Djalil Kateb France
Roman Chapko Ukraine
Jérémi Dardé France
Maatoug Hassine Tunisia
Christiane Pöschl Austria
A. L. Bukhgeĭm Russia
G. Peichl Austria
Serge Nicaise France
Eva Sincich relative to Elisa Francini Italy Elisa Francini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eva Sincich

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 16 scholars most cited alongside Eva Sincich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Sincich Line = papers co-authored together Eva Sincich links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200733
2 201922
3 201019
4
Solving elliptic Cauchy problems and the identification of nonlinear corrosion
200718
5 200618
6 200618
7 200618
8 201416
9 201515
10 201814
11
Inverse problem for the Helmholtz equation with Cauchy data: reconstruction with conditional well-posedness driven iterative regularization
201714
12 201113
13 201410
14 20139
15 20086
16 20215
17 20115
18 20094
19 20084
20 20134

About Eva Sincich

Eva Sincich is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Mechanics of Materials, Biomedical Engineering and Electrical and Electronic Engineering, having authored 29 papers that have together received 277 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (24 papers), Advanced Mathematical Modeling in Engineering (16 papers), Composite Material Mechanics (11 papers), Microwave Imaging and Scattering Analysis (6 papers), Numerical methods in engineering (3 papers), Electrical and Bioimpedance Tomography (3 papers), Seismic Waves and Analysis (2 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). The work is most often cited by research in Mathematical Physics (223 citations), Computational Theory and Mathematics (109 citations), Mechanics of Materials (106 citations), Applied Mathematics (31 citations) and Modeling and Simulation (11 citations). Eva Sincich has collaborated with scholars based in Italy, Ireland and Austria. Frequent co-authors include Giovanni Alessandrini, Romina Gaburro, Angkana Rüland, Božidar Šarler, Maarten V. de Hoop, Sergio Vessella, Mourad Sini, J. R. Partington, Michele Di Cristo and Yannick Fischer. Their work appears in journals such as Inverse Problems, Inverse Problems and Imaging, Journal of Mathematical Analysis and Applications, SIAM Journal on Mathematical Analysis and Indiana University Mathematics Journal.

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.

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