S. Paul Pao
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Environmental Engineering top 10%
- Applied Mathematics top 10%
- Co-authors
- Khaled S. Abdol-HamidAlaa ElmiliguiSteven J. MasseyJohn SeinerManuel D. SalasRussell H. ThomasKevin KinzieJohn R. Carlson
- Topics
- Fluid Dynamics and Turbulent Flows (23 papers)Aerodynamics and Acoustics in Jet Flows (23 papers)Computational Fluid Dynamics and Aerodynamics (19 papers)
- Partner nations
- United States
In The Last Decade
S. Paul Pao
36 papers receiving 479 citations
Peers
Comparison fields: 5 of 33
- Computational Mechanics 409
- Aerospace Engineering 375
- Biomedical Engineering 94
- Environmental Engineering 83
- Applied Mathematics 54
Countries citing papers authored by S. Paul Pao
This map shows the geographic impact of S. Paul Pao'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 S. Paul Pao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Paul Pao more than expected).
Fields of papers citing papers by S. Paul Pao
This network shows the impact of papers produced by S. Paul Pao. 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 S. Paul Pao. The network helps show where S. Paul Pao may publish in the future.
Co-authorship network of co-authors of S. Paul Pao
This figure shows the co-authorship network connecting the top 25 collaborators of S. Paul Pao. A scholar is included among the top collaborators of S. Paul Pao 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 S. Paul Pao. S. Paul Pao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | Mimicking Natural Laminar to Turbulent Flow Transition: A Systematic CFD Study Using PAB3D | 1 |
| 5 | Navier-Stokes Computations of Longitudinal Forces and Moments for a Blended Wing Body | 5 |
| 6 | 13 | |
| 7 | 61 | |
| 8 | 50 | |
| 9 | 49 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | Grid adaptation to multiple functions for applied aerodynamic analysis | 1 |
| 13 | A correlation of mixing noise from coannular jets with inverted flow profiles | 15 |
| 14 | Prediction of ground effects on aircraft noise | 15 |
| 15 | 1 | |
| 16 | 17 | |
| 17 | Prediction of Excess Attenuation Spectrum for Natural Ground Cover | 0 |
| 18 | 6 | |
| 19 | 9 | |
| 20 | Spectral Techniques in Jet Noise Theory | 1 |
About S. Paul Pao
S. Paul Pao is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics, having authored 38 papers that have together received 503 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (23 papers), Aerodynamics and Acoustics in Jet Flows (23 papers) and Computational Fluid Dynamics and Aerodynamics (19 papers). The work is most often cited by research in Computational Mechanics (409 citations), Aerospace Engineering (375 citations) and Environmental Engineering (83 citations). S. Paul Pao has collaborated with scholars based in United States. Frequent co-authors include Khaled S. Abdol-Hamid, Alaa Elmiligui, Steven J. Massey, John Seiner, Manuel D. Salas, Russell H. Thomas, Kevin Kinzie, John R. Carlson, Karen Deere and M. V. Lowson. Their work appears in journals such as Journal of Fluid Mechanics, The Journal of the Acoustical Society of America and AIAA Journal.
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.