James A. Rossmanith
- Computational Mechanics top 2%
- Applied Mathematics top 2%
- Atmospheric Science top 10%
- Astronomy and Astrophysics top 10%
- Numerical Analysis top 10%
- Co-authors
- Randall J. LeVequeDerek S. BaleDavid C. SealSorin MitranBertram TaetzChristiane HelzelAndrew ChristliebQi Tang
- Topics
- Computational Fluid Dynamics and Aerodynamics (13 papers)Gas Dynamics and Kinetic Theory (9 papers)Fluid Dynamics and Turbulent Flows (7 papers)
- Journals
- Journal of Computational PhysicsComputer Physics CommunicationsSIAM Journal on Scientific Computing
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
James A. Rossmanith
20 papers receiving 657 citations
Peers
Comparison fields: 5 of 52
- Computational Mechanics 532
- Applied Mathematics 239
- Atmospheric Science 118
- Astronomy and Astrophysics 75
- Numerical Analysis 72
Countries citing papers authored by James A. Rossmanith
This map shows the geographic impact of James A. Rossmanith'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 James A. Rossmanith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Rossmanith more than expected).
Fields of papers citing papers by James A. Rossmanith
This network shows the impact of papers produced by James A. Rossmanith. 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 James A. Rossmanith. The network helps show where James A. Rossmanith may publish in the future.
Co-authorship network of co-authors of James A. Rossmanith
This figure shows the co-authorship network connecting the top 25 collaborators of James A. Rossmanith. A scholar is included among the top collaborators of James A. Rossmanith 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 James A. Rossmanith. James A. Rossmanith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 11 | |
| 4 | 21 | |
| 5 | 34 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 122 | |
| 9 | 49 | |
| 10 | 3 | |
| 11 | 62 | |
| 12 | Residual Distribution Schemes for Hyperbolic Balance Laws in Generalized Coordinates | 2 |
| 13 | 50 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 45 | |
| 18 | 210 | |
| 19 | A wave propagation method with constrained transport for ideal and shallow water magnetohydrodynamics | 23 |
| 20 | 20 |
About James A. Rossmanith
James A. Rossmanith is a scholar working on Applied Mathematics, Computational Mechanics and Astronomy and Astrophysics, having authored 21 papers that have together received 713 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (13 papers), Gas Dynamics and Kinetic Theory (9 papers) and Fluid Dynamics and Turbulent Flows (7 papers). The work is most often cited by research in Computational Mechanics (532 citations), Applied Mathematics (239 citations) and Numerical Analysis (72 citations). James A. Rossmanith has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Randall J. LeVeque, Derek S. Bale, David C. Seal, Sorin Mitran, Bertram Taetz, Christiane Helzel, Andrew Christlieb, Qi Tang, Baskar Ganapathysubramanian and Hari Sundar. Their work appears in journals such as Journal of Computational Physics, Computer Physics Communications and SIAM Journal on 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.