Sunčica Čanić
- Applied Mathematics top 0.5%
- Navier-Stokes equation solutions 30
- Computational Mechanics top 1%
- Advanced Numerical Methods in Computational Mathematics 18
- Computational Fluid Dynamics and Aerodynamics 15
- Lattice Boltzmann Simulation Studies 13
- Fluid Dynamics and Turbulent Flows 13
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems 15
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- Advanced Mathematical Modeling in Engineering 19
- Numerical Analysis top 5%
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- Coronary Interventions and Diagnostics 11
- Co-authors
- Barbara Lee KeyfitzEun Heui KimBoris MuhaRoland GlowinskiJosip TambačaAndro MikelićMartina BukačAnnalisa Quaini
- Journals
- Journal of Computational Physics (8 papers)Annals of Biomedical Engineering (5 papers)SIAM Journal on Applied Mathematics (4 papers)
- Partner nations
- United StatesCroatiaFrance
In The Last Decade
Sunčica Čanić
78 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 89
- Applied Mathematics 735
- Computational Mechanics 921
- Mathematical Physics 381
- Computational Theory and Mathematics 418
- Numerical Analysis 107
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
The 25 scholars most cited alongside Sunčica Čanić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 2 | |
| 5 | 2020 | 5 | |
| 6 | 2016 | 36 | |
| 7 | 2015 | 12 | |
| 8 | 2014 | 37 | |
| 9 | 2014 | 108 | |
| 10 | 2014 | 42 | |
| 11 | 2013 | 18 | |
| 12 | 2011 | 10 | |
| 13 | 2009 | 7 | |
| 14 | 2008 | 25 | |
| 15 | A Useful Class of Two-Dimensional Conservation Laws | 2007 | 0 |
| 16 | 2003 | 17 | |
| 17 | 2002 | 14 | |
| 18 | 2002 | 33 | |
| 19 | 2001 | 4 | |
| 20 | 1996 | 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), Advanced Numerical Methods in Computational Mathematics (18 papers), Advanced Mathematical Physics Problems (15 papers), Computational Fluid Dynamics and Aerodynamics (15 papers), Lattice Boltzmann Simulation Studies (13 papers), Fluid Dynamics and Turbulent Flows (13 papers) and Coronary Interventions and Diagnostics (11 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, Annals of Biomedical Engineering, SIAM Journal on Applied Mathematics, Journal of Differential Equations and Journal of Scientific Computing.
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.