Sunčica Čanić
- Computational Mechanics top 1%
- Applied Mathematics top 0.5%
- Computational Theory and Mathematics top 1%
- Mathematical Physics top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Barbara Lee KeyfitzEun Heui KimBoris MuhaRoland GlowinskiJosip TambačaAndro MikelićMartina BukačAnnalisa Quaini
- Topics
- Navier-Stokes equation solutions (30 papers)Advanced Mathematical Modeling in Engineering (19 papers)Advanced Numerical Methods in Computational Mathematics (18 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringPLoS Computational Biology
- Partner nations
- United StatesCroatiaFrance
In The Last Decade
Sunčica Čanić
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Computational Mechanics 921
- Applied Mathematics 735
- Computational Theory and Mathematics 418
- Mathematical Physics 381
- Cardiology and Cardiovascular Medicine 335
Countries citing papers authored by Sunčica Čanić
This map shows the geographic impact of Sunčica Čanić'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 Sunčica Čanić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunčica Čanić more than expected).
Fields of papers citing papers by Sunčica Čanić
This network shows the impact of papers produced by Sunčica Čanić. 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 Sunčica Čanić. The network helps show where Sunčica Čanić may publish in the future.
Co-authorship network of co-authors of Sunčica Čanić
This figure shows the co-authorship network connecting the top 25 collaborators of Sunčica Čanić. A scholar is included among the top collaborators of Sunčica Čanić 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 Sunčica Čanić. Sunčica Čanić 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 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 36 | |
| 7 | 12 | |
| 8 | 37 | |
| 9 | 108 | |
| 10 | 42 | |
| 11 | 18 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | 25 | |
| 15 | A Useful Class of Two-Dimensional Conservation Laws | 0 |
| 16 | 17 | |
| 17 | 14 | |
| 18 | 33 | |
| 19 | 4 | |
| 20 | 33 |
About Sunčica Čanić
Sunčica Čanić is a scholar working on Applied Mathematics, Computational Mechanics and Mathematical Physics, having authored 81 papers that have together received 1.9k indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (30 papers), Advanced Mathematical Modeling in Engineering (19 papers) and Advanced Numerical Methods in Computational Mathematics (18 papers). The work is most often cited by research in Applied Mathematics (735 citations), Computational Mechanics (921 citations) and Mathematical Physics (381 citations). Sunčica Čanić has collaborated with scholars based in United States, Croatia and France. Frequent co-authors include Barbara Lee Keyfitz, Eun Heui Kim, Boris Muha, Roland Glowinski, Josip Tambača, Andro Mikelić, Martina Bukač, Annalisa Quaini, Gary M. Lieberman and Giovanna Guidoboni. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and PLoS Computational Biology.
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.