Oliver A. McBryan
- Computational Mechanics top 1%
- Applied Mathematics top 2%
- Nuclear and High Energy Physics top 10%
- Ocean Engineering top 5%
- Mathematical Physics top 5%
- Co-authors
- James GlimmD. MarchesinSara YanivBradley J. PlohrEric F. Van de VeldeThomas SpencerRalph MenikoffDavid H. Sharp
- Topics
- Parallel Computing and Optimization Techniques (12 papers)Advanced Numerical Methods in Computational Mathematics (11 papers)Fluid Dynamics and Turbulent Flows (9 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Oliver A. McBryan
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 81
- Computational Mechanics 759
- Applied Mathematics 230
- Nuclear and High Energy Physics 177
- Ocean Engineering 147
- Mathematical Physics 133
Countries citing papers authored by Oliver A. McBryan
This map shows the geographic impact of Oliver A. McBryan'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 Oliver A. McBryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver A. McBryan more than expected).
Fields of papers citing papers by Oliver A. McBryan
This network shows the impact of papers produced by Oliver A. McBryan. 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 Oliver A. McBryan. The network helps show where Oliver A. McBryan may publish in the future.
Co-authorship network of co-authors of Oliver A. McBryan
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver A. McBryan. A scholar is included among the top collaborators of Oliver A. McBryan 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 Oliver A. McBryan. Oliver A. McBryan 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 | Hypercube algorithms and implementations | 0 |
| 3 | 14 | |
| 4 | Performance Evaluation of the Myrias SPS-2 Computer | 0 |
| 5 | A Comparison of the Intel iPSC/860 and the Suprenum-1 Parallel Computers | 3 |
| 6 | Overview of current developments in parallel architectures | 2 |
| 7 | 42 | |
| 8 | 127 | |
| 9 | 15 | |
| 10 | 81 | |
| 11 | 57 | |
| 12 | 40 | |
| 13 | Computational methods for discontinuities in fluids | 4 |
| 14 | 14 | |
| 15 | Front tracking for gas dynamics | 2 |
| 16 | 5 | |
| 17 | 115 | |
| 18 | 18 | |
| 19 | 23 | |
| 20 | 7 |
About Oliver A. McBryan
Oliver A. McBryan is a scholar working on Hardware and Architecture, Computational Mechanics and Mathematical Physics, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Advanced Numerical Methods in Computational Mathematics (11 papers) and Fluid Dynamics and Turbulent Flows (9 papers). The work is most often cited by research in Computational Mechanics (759 citations), Applied Mathematics (230 citations) and Hardware and Architecture (110 citations). Oliver A. McBryan has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include James Glimm, D. Marchesin, Sara Yaniv, Bradley J. Plohr, Eric F. Van de Velde, Thomas Spencer, Ralph Menikoff, David H. Sharp, I‐Liang Chern and Eugene Isaacson. Their work appears in journals such as Journal of Computational Physics, Communications in Mathematical Physics and Physics Letters A.
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.