T. J. Coakley
- Computational Mechanics top 0.5%
- Aerospace Engineering top 1%
- Applied Mathematics top 1%
- Mechanical Engineering top 5%
- Environmental Engineering top 5%
- Co-authors
- P. G. HuangJ. BardinaPo‐Ssu HuangJorge BardinaP. BradshawT. HSIEHJ. R. ViegasMeng‐Sing Liou
- Topics
- Fluid Dynamics and Turbulent Flows (47 papers)Computational Fluid Dynamics and Aerodynamics (41 papers)Gas Dynamics and Kinetic Theory (16 papers)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
T. J. Coakley
49 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Computational Mechanics 1.8k
- Aerospace Engineering 1.0k
- Applied Mathematics 461
- Mechanical Engineering 362
- Environmental Engineering 297
Countries citing papers authored by T. J. Coakley
This map shows the geographic impact of T. J. Coakley'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 T. J. Coakley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Coakley more than expected).
Fields of papers citing papers by T. J. Coakley
This network shows the impact of papers produced by T. J. Coakley. 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 T. J. Coakley. The network helps show where T. J. Coakley may publish in the future.
Co-authorship network of co-authors of T. J. Coakley
This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Coakley. A scholar is included among the top collaborators of T. J. Coakley 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 T. J. Coakley. T. J. Coakley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | Turbulence compressibility corrections | 13 |
| 4 | 60 | |
| 5 | 106 | |
| 6 | 7 | |
| 7 | 27 | |
| 8 | 20 | |
| 9 | 32 | |
| 10 | 46 | |
| 11 | Impact of turbulence modeling on numerical accuracy and efficiency of compressible flow simulations | 2 |
| 12 | A compressible Navier-Stokes code for turbulent flow modeling | 6 |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 21 | |
| 16 | 21 | |
| 17 | 8 | |
| 18 | Turbulence modeling of shock separated boundary-layer flows | 12 |
| 19 | An experimental and numerical investigation of shock-wave induced turbulent boundary-layer separation at hypersonic speeds | 6 |
| 20 | 4 |
About T. J. Coakley
T. J. Coakley is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (47 papers), Computational Fluid Dynamics and Aerodynamics (41 papers) and Gas Dynamics and Kinetic Theory (16 papers). The work is most often cited by research in Computational Mechanics (1.8k citations), Applied Mathematics (461 citations) and Aerospace Engineering (1.0k citations). T. J. Coakley has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include P. G. Huang, J. Bardina, Po‐Ssu Huang, Jorge Bardina, P. Bradshaw, T. HSIEH, J. R. Viegas, Meng‐Sing Liou, Dennis A. Johnson and Michel Bergmann. Their work appears in journals such as AIAA Journal, Journal of Propulsion and Power and Journal of Spacecraft and Rockets.
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.