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New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection–Diffusion Equations
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Citations
Cited by
Central-Upwind Schemes for the Saint-Venant System
Kurganov, A., & Levy, D. (2002) · ESAIM: Mathematical Modelling and Numerical Analysis · doi:10.1051/m2an:2002019 · Cited by 323
Self-citationMatter effects on binary neutron star waveforms
Read, J. S., Baiotti, L., Creighton, J. D. E., Friedman, J. L., Giacomazzo, B., Kyutoku, K., Markakis, C., Rezzolla, L., Shibata, M., & Taniguchi, K. (2013) · Physical Review D · doi:10.1103/physrevd.88.044042 · Cited by 320
Higher flow harmonics from(3+1)D event-by-event viscous hydrodynamics
Schenke, B., Jeon, S., & Gale, C. (2012) · Physical Review C · doi:10.1103/physrevc.85.024901 · Cited by 278
Finite-volume schemes for shallow-water equations
Kurganov, A. (2018) · Acta Numerica · doi:10.1017/s0962492918000028 · Cited by 108
Self-citationAttarakih, M. M., Bart, H.-J., & Faqir, N. M. (2004) · Chemical Engineering Science · doi:10.1016/j.ces.2004.03.005 · Cited by 93
Metadata
- Authors
- Kurganov, A., & Tadmor, E.
- Venue
- Journal of Computational Physics
- Publisher
- Elsevier BV
- Published
- 2000-05
- Volume
- 160
- Issue
- 1
- Pages
- 241-282
- ISSN
- 0021-9991 (ISSN-L)
- OpenAlex
- W2156669471
- Cited by
- 1,938
- References
- 0
- FWCI
- 39.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection–Diffusion Equations. https://app.cochat.ai/papers/10.1006/jcph.2000.6459
- The paper
- Kurganov, A., & Tadmor, E. (2000). New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection–Diffusion Equations. Journal of Computational Physics. https://doi.org/10.1006/jcph.2000.6459
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.