Guru P. Guruswamy
- Computational Mechanics top 0.5%
- Computational Fluid Dynamics and Aerodynamics 93
- Fluid Dynamics and Turbulent Flows 60
- Advanced Numerical Methods in Computational Mathematics 17
- Fluid Dynamics and Vibration Analysis 10
- Aerospace Engineering top 1%
- Plasma and Flow Control in Aerodynamics 26
- Aeroelasticity and Vibration Control 15
- Aerodynamics and Fluid Dynamics Research 11
- Applied Mathematics top 5%
-
- Model Reduction and Neural Networks 10
- Co-authors
- Shigeru ObayashiChansup ByunPeter M. GoorjianEugene TuMark PotsdamRakesh K. KapaniaNeal M. ChaderjianManoj Bhardwaj
- Journals
- AIAA Journal (17 papers)Computers & Structures (3 papers)Journal of Dynamic Systems Measurement and Control (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Guru P. Guruswamy
96 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 58
- Computational Mechanics 1.4k
- Aerospace Engineering 869
- Applied Mathematics 165
- Statistics, Probability and Uncertainty 99
- Statistical and Nonlinear Physics 147
Countries citing papers authored by Guru P. Guruswamy
This map shows the geographic impact of Guru P. Guruswamy'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 Guru P. Guruswamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guru P. Guruswamy more than expected).
Fields of papers citing papers by Guru P. Guruswamy
This network shows the impact of papers produced by Guru P. Guruswamy. 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 Guru P. Guruswamy. The network helps show where Guru P. Guruswamy may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Guru P. Guruswamy, 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 | 2024 | 1 | |
| 2 | 2022 | 0 | |
| 3 | 2011 | 10 | |
| 4 | 2D Static Fluid/Structure Analysis Using PSE. | 2003 | 2 |
| 5 | 2001 | 52 | |
| 6 | 1999 | 6 | |
| 7 | 1998 | 17 | |
| 8 | 1996 | 9 | |
| 9 | 1996 | 11 | |
| 10 | 1994 | 11 | |
| 11 | Progress in Computational Aeroelasticity Using High Fidelity Flow and Structural Equations on Parallel Computers | 1994 | 1 |
| 12 | 1994 | 102 | |
| 13 | 1993 | 1 | |
| 14 | Unsteady Navier-Stokes computations on a wing-body configuration in ramp motions | 1991 | 5 |
| 15 | 1990 | 12 | |
| 16 | 1989 | 2 | |
| 17 | 1989 | 8 | |
| 18 | 1988 | 18 | |
| 19 | 1986 | 28 | |
| 20 | 1986 | 12 |
About Guru P. Guruswamy
Guru P. Guruswamy is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (93 papers), Fluid Dynamics and Turbulent Flows (60 papers), Plasma and Flow Control in Aerodynamics (26 papers), Advanced Numerical Methods in Computational Mathematics (17 papers), Aeroelasticity and Vibration Control (15 papers), Aerodynamics and Fluid Dynamics Research (11 papers), Model Reduction and Neural Networks (10 papers) and Fluid Dynamics and Vibration Analysis (10 papers). The work is most often cited by research in Computational Mechanics (1.4k citations), Aerospace Engineering (869 citations) and Applied Mathematics (165 citations). Guru P. Guruswamy has collaborated with scholars based in United States and Japan. Frequent co-authors include Shigeru Obayashi, Chansup Byun, Peter M. Goorjian, Eugene Tu, Mark Potsdam, Rakesh K. Kapania, Neal M. Chaderjian, Manoj Bhardwaj, Eric Reichenbach and Joseph A. Garcia. Their work appears in journals such as AIAA Journal, Computers & Structures and Journal of Dynamic Systems Measurement and Control.
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.