D.C. Tan
Impact in
- Applied Mathematics top 1%
- Navier-Stokes equation solutions
- Gas Dynamics and Kinetic Theory
- Geometric Analysis and Curvature Flows
- Computational Mechanics top 2%
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Heat Transfer
Papers in
-
- Computational Fluid Dynamics and Aerodynamics 3
- Fluid Dynamics and Turbulent Flows 2
- Ion-surface interactions and analysis 1
-
- Navier-Stokes equation solutions 4
- Co-authors
- Ting Zhang (2 shared papers)Tongkeun Chang (1 shared paper)James Glimm (4 shared papers)John W. Grove (2 shared papers)F. M. Tangerman (3 shared papers)Tanya M. Smith (1 shared paper)Qiang Zhang (1 shared paper)Herbert C. Kranzer (1 shared paper)
- Journals
- Journal of Differential Equations (4 papers)SIAM Journal on Scientific Computing (2 papers)Computers & Mathematics with Applications (1 paper)Communications in Mathematical Physics (1 paper)Coatings (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
D.C. Tan
8 papers receiving 546 citations
Peers
Comparison fields: 5 of 51
- Applied Mathematics 397
- Computational Mechanics 443
- Mathematical Physics 191
- Astronomy and Astrophysics 94
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by D.C. Tan
This map shows the geographic impact of D.C. Tan'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 D.C. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.C. Tan more than expected).
Fields of papers citing papers by D.C. Tan
This network shows the impact of papers produced by D.C. Tan. 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 D.C. Tan. The network helps show where D.C. Tan may publish in the future.
Co-authors
The 11 scholars most cited alongside D.C. Tan, 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 | 1994 | 258 | |
| 2 | 2000 | 111 | |
| 3 | 1994 | 107 | |
| 4 | 1998 | 72 | |
| 5 | 1994 | 49 | |
| 6 | 1997 | 10 | |
| 7 | 1994 | 4 | |
| 8 | 1999 | 4 | |
| 9 | 2025 | 0 |
About D.C. Tan
D.C. Tan is a scholar working on Computational Mechanics, Applied Mathematics, Mathematical Physics, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 9 papers that have together received 615 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (4 papers), Advanced Mathematical Physics Problems (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Laser-Plasma Interactions and Diagnostics (2 papers), Cosmology and Gravitation Theories (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Ion-surface interactions and analysis (1 paper) and Laser-induced spectroscopy and plasma (1 paper). The work is most often cited by research in Applied Mathematics (397 citations), Computational Mechanics (443 citations), Mathematical Physics (191 citations), Astronomy and Astrophysics (94 citations) and Computer Graphics and Computer-Aided Design (19 citations). D.C. Tan has collaborated with scholars based in United States and China. Frequent co-authors include Ting Zhang, Tongkeun Chang, James Glimm, John W. Grove, F. M. Tangerman, Tanya M. Smith, Qiang Zhang, Herbert C. Kranzer, Wancheng Sheng and Menghao Wang. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Scientific Computing, Computers & Mathematics with Applications, Communications in Mathematical Physics and Coatings.
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.