M. Damodaran
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Fluid Dynamics and Turbulent Flows 20
- Computational Fluid Dynamics and Aerodynamics 20
- Fluid Dynamics and Vibration Analysis 6
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- Aerospace Engineering and Energy Systems 7
- Biomimetic flight and propulsion mechanisms 6
- Co-authors
- Karen Willcox (1 shared paper)Tan Bui–Thanh (1 shared paper)Boo Cheong Khoo (7 shared papers)Qizhen Xiao (1 shared paper)Xikun Wang (3 shared papers)Benzi John (2 shared papers)Xin Wang (1 shared paper)Cong Liu (2 shared papers)
In The Last Decade
M. Damodaran
49 papers receiving 687 citations
Peers
Comparison fields: 5 of 60
- Statistical and Nonlinear Physics 319
- Statistics, Probability and Uncertainty 177
- Computational Mechanics 389
- Aerospace Engineering 206
- Computational Mathematics 4
Countries citing papers authored by M. Damodaran
This map shows the geographic impact of M. Damodaran'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 M. Damodaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Damodaran more than expected).
Fields of papers citing papers by M. Damodaran
This network shows the impact of papers produced by M. Damodaran. 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 M. Damodaran. The network helps show where M. Damodaran may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Damodaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 381 | |
| 2 | 2020 | 38 | |
| 3 | 2002 | 23 | |
| 4 | 2010 | 22 | |
| 5 | 2008 | 20 | |
| 6 | 2023 | 15 | |
| 7 | 2000 | 15 | |
| 8 | 2002 | 14 | |
| 9 | 2009 | 14 | |
| 10 | 1993 | 13 | |
| 11 | 2002 | 10 | |
| 12 | 1996 | 10 | |
| 13 | 1997 | 9 | |
| 14 | 1991 | 8 | |
| 15 | 2019 | 8 | |
| 16 | 2002 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2004 | 7 | |
| 19 | 2001 | 5 | |
| 20 | 2004 | 5 |
About M. Damodaran
M. Damodaran is a scholar working on Computational Mechanics, Aerospace Engineering, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 51 papers that have together received 708 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (20 papers), Computational Fluid Dynamics and Aerodynamics (20 papers), Aerospace Engineering and Energy Systems (7 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Biomimetic flight and propulsion mechanisms (6 papers), Fluid Dynamics and Vibration Analysis (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (319 citations), Statistics, Probability and Uncertainty (177 citations), Computational Mechanics (389 citations), Aerospace Engineering (206 citations) and Computational Mathematics (4 citations). M. Damodaran has collaborated with scholars based in Singapore, India and China. Frequent co-authors include Karen Willcox, Tan Bui–Thanh, Boo Cheong Khoo, Qizhen Xiao, Xikun Wang, Benzi John, Xin Wang, Cong Liu, Hua Pan and Ling Li. Their work appears in journals such as AIAA Journal, Journal of Aircraft, International journal of computational fluid dynamics, International Journal for Numerical Methods in Fluids and IEEE Transactions on Magnetics.
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.