Datta V. Gaitonde
- Computational Mechanics top 0.02%
- Aerospace Engineering top 0.05%
- Applied Mathematics top 0.2%
- Electrical and Electronic Engineering top 5%
- Environmental Engineering top 2%
- Co-authors
- Miguel R. VisbalJ. S. ShangSubrata RoyMichael C. AdlerJonathan PoggieJoseph ShangS. UnnikrishnanJeffrey L. Young
- Topics
- Fluid Dynamics and Turbulent Flows (298 papers)Computational Fluid Dynamics and Aerodynamics (273 papers)Aerodynamics and Acoustics in Jet Flows (150 papers)
- Partner nations
- United StatesIndiaBrazil
In The Last Decade
Datta V. Gaitonde
371 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Computational Mechanics 7.7k
- Aerospace Engineering 5.5k
- Applied Mathematics 1.4k
- Electrical and Electronic Engineering 738
- Environmental Engineering 595
Countries citing papers authored by Datta V. Gaitonde
This map shows the geographic impact of Datta V. Gaitonde'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 Datta V. Gaitonde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Datta V. Gaitonde more than expected).
Fields of papers citing papers by Datta V. Gaitonde
This network shows the impact of papers produced by Datta V. Gaitonde. 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 Datta V. Gaitonde. The network helps show where Datta V. Gaitonde may publish in the future.
Co-authorship network of co-authors of Datta V. Gaitonde
This figure shows the co-authorship network connecting the top 25 collaborators of Datta V. Gaitonde. A scholar is included among the top collaborators of Datta V. Gaitonde 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 Datta V. Gaitonde. Datta V. Gaitonde 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 9 | |
| 16 | Structure of hypersonic turbulent spot evolution | 1 |
| 17 | 1 | |
| 18 | Numerical investigation of a supersonic multistream Jet with an Aft-Deck | 3 |
| 19 | Multi-Fidelity Modeling of Separated Flow Control with Nanosecond Pulsed Plasma Actuation | 2 |
| 20 | An examination of several high resolution schemes applied to complex problems in high speed flows | 0 |
About Datta V. Gaitonde
Datta V. Gaitonde is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics, having authored 404 papers that have together received 8.7k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (298 papers), Computational Fluid Dynamics and Aerodynamics (273 papers) and Aerodynamics and Acoustics in Jet Flows (150 papers). The work is most often cited by research in Computational Mechanics (7.7k citations), Aerospace Engineering (5.5k citations) and Applied Mathematics (1.4k citations). Datta V. Gaitonde has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Miguel R. Visbal, J. S. Shang, Subrata Roy, Michael C. Adler, Jonathan Poggie, Joseph Shang, S. Unnikrishnan, Jeffrey L. Young, Jack J. McNamara and Mo Samimy. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Journal of Fluid Mechanics.
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.