Nathan S. Hariharan
- Computational Mechanics top 2%
- Aerospace Engineering top 5%
- Statistical and Nonlinear Physics top 10%
- Control and Systems Engineering top 10%
- Applied Mathematics top 10%
- Co-authors
- Lakshmi SankarT. Alan EgolfRobert NarducciZ.J. WangMartin GuayMark PotsdamAndrew M. WissinkRobert Meakin
- Topics
- Computational Fluid Dynamics and Aerodynamics (47 papers)Fluid Dynamics and Turbulent Flows (39 papers)Model Reduction and Neural Networks (13 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Nathan S. Hariharan
73 papers receiving 661 citations
Peers
Comparison fields: 5 of 43
- Computational Mechanics 627
- Aerospace Engineering 393
- Statistical and Nonlinear Physics 76
- Control and Systems Engineering 75
- Applied Mathematics 58
Countries citing papers authored by Nathan S. Hariharan
This map shows the geographic impact of Nathan S. Hariharan'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 Nathan S. Hariharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan S. Hariharan more than expected).
Fields of papers citing papers by Nathan S. Hariharan
This network shows the impact of papers produced by Nathan S. Hariharan. 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 Nathan S. Hariharan. The network helps show where Nathan S. Hariharan may publish in the future.
Co-authorship network of co-authors of Nathan S. Hariharan
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan S. Hariharan. A scholar is included among the top collaborators of Nathan S. Hariharan 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 Nathan S. Hariharan. Nathan S. Hariharan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 14 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 24 | |
| 18 | First-Principles Based High Order Methodologies For Rotorcraft Flowfield Studies | 10 |
| 19 | Higher Order Numerical Simulation of Rotor Flow Field | 25 |
| 20 | 5 |
About Nathan S. Hariharan
Nathan S. Hariharan is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 80 papers that have together received 738 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (47 papers), Fluid Dynamics and Turbulent Flows (39 papers) and Model Reduction and Neural Networks (13 papers). The work is most often cited by research in Computational Mechanics (627 citations), Aerospace Engineering (393 citations) and Statistical and Nonlinear Physics (76 citations). Nathan S. Hariharan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lakshmi Sankar, T. Alan Egolf, Robert Narducci, Z.J. Wang, Martin Guay, Mark Potsdam, Andrew M. Wissink, Robert Meakin, V. Parthasarathy and David O’Brien. Their work appears in journals such as Computers & Chemical Engineering, Journal of Aircraft and Computing in Science & Engineering.
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.