Nateri K. Madavan
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows 30
- Computational Fluid Dynamics and Aerodynamics 18
- Aerospace Engineering top 2%
- Turbomachinery Performance and Optimization 21
- Rocket and propulsion systems research 7
- Aerodynamics and Acoustics in Jet Flows 5
- Ocean Engineering top 2%
- Particle Dynamics in Fluid Flows 5
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- Heat Transfer Mechanisms 13
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- Model Reduction and Neural Networks 8
Nateri K. Madavan
51 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 70
- Computational Mechanics 763
- Aerospace Engineering 549
- Ocean Engineering 229
- Computational Theory and Mathematics 215
- Fluid Flow and Transfer Processes 45
Countries citing papers authored by Nateri K. Madavan
This map shows the geographic impact of Nateri K. Madavan'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 Nateri K. Madavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nateri K. Madavan more than expected).
Fields of papers citing papers by Nateri K. Madavan
This network shows the impact of papers produced by Nateri K. Madavan. 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 Nateri K. Madavan. The network helps show where Nateri K. Madavan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nateri K. Madavan, 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 | 2018 | 2 | |
| 2 | 2017 | 7 | |
| 3 | A NASA Perspective on Electric Propulsion Technologies for Large Commercial Aircraft | 2016 | 3 |
| 4 | Hybrid-Electric and Distributed Propulsion Technologies for Large Commercial Transports: A NASA Perspective | 2015 | 6 |
| 5 | NASA Fixed Wing Project Propulsion Research and Technology Development Activities to Reduce Thrust Specific Energy Consumption | 2013 | 1 |
| 6 | 2013 | 25 | |
| 7 | 2011 | 27 | |
| 8 | 2009 | 1 | |
| 9 | 2005 | 2 | |
| 10 | 2004 | 11 | |
| 11 | 2003 | 15 | |
| 12 | 1996 | 3 | |
| 13 | 1994 | 4 | |
| 14 | Unsteady, three-dimensional, Navier-Stokes simulations of multistage turbomachinery flows | 1993 | 0 |
| 15 | 1993 | 3 | |
| 16 | 1992 | 22 | |
| 17 | 1991 | 3 | |
| 18 | 1990 | 0 | |
| 19 | 1985 | 65 | |
| 20 | Prediction of incompressible laminar separated flows using the partially parabolized Navier-Stokes equations | 1982 | 0 |
About Nateri K. Madavan
Nateri K. Madavan is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (30 papers), Turbomachinery Performance and Optimization (21 papers), Computational Fluid Dynamics and Aerodynamics (18 papers), Heat Transfer Mechanisms (13 papers), Model Reduction and Neural Networks (8 papers), Rocket and propulsion systems research (7 papers), Particle Dynamics in Fluid Flows (5 papers) and Aerodynamics and Acoustics in Jet Flows (5 papers). The work is most often cited by research in Computational Mechanics (763 citations), Aerospace Engineering (549 citations) and Ocean Engineering (229 citations). Nateri K. Madavan has collaborated with scholars based in United States. Frequent co-authors include Steven Deutsch, Charles Merkle, Man Mohan, Roger L. Davis, Daniel J. Dorney, Man Rai, Anirban Garai, Laslo T. Diosady, Scott M. Murman and Frank Hüber. Their work appears in journals such as Journal of Fluid Mechanics, AIAA Journal and SAE technical papers on CD-ROM/SAE technical paper series.
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.