Mihai C. Duta
- Computational Mechanics top 2%
- Aerospace Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Statistical and Nonlinear Physics top 10%
- Applied Mathematics top 10%
- Co-authors
- Michael B. GilesJens‐Dominik MüllerNiles A. PierceM. Sergio CampobassoJens-Dominik MüellerShahrokh ShahparSimón CoxRichard Boardman
- Topics
- Computational Fluid Dynamics and Aerodynamics (8 papers)Turbomachinery Performance and Optimization (6 papers)Fluid Dynamics and Turbulent Flows (3 papers)
- Journals
- AIAA JournalJournal of Sound and VibrationInternational Journal for Numerical Methods in Fluids
- Partner nations
- United KingdomUnited States
In The Last Decade
Mihai C. Duta
14 papers receiving 472 citations
Peers
Comparison fields: 5 of 43
- Computational Mechanics 392
- Aerospace Engineering 181
- Statistics, Probability and Uncertainty 72
- Statistical and Nonlinear Physics 64
- Applied Mathematics 62
Countries citing papers authored by Mihai C. Duta
This map shows the geographic impact of Mihai C. Duta'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 Mihai C. Duta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai C. Duta more than expected).
Fields of papers citing papers by Mihai C. Duta
This network shows the impact of papers produced by Mihai C. Duta. 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 Mihai C. Duta. The network helps show where Mihai C. Duta may publish in the future.
Co-authorship network of co-authors of Mihai C. Duta
This figure shows the co-authorship network connecting the top 25 collaborators of Mihai C. Duta. A scholar is included among the top collaborators of Mihai C. Duta 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 Mihai C. Duta. Mihai C. Duta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 29 | |
| 3 | The use of automatic differentiation for adjoint CFD codes | 1 |
| 4 | 5 | |
| 5 | 37 | |
| 6 | 1 | |
| 7 | 34 | |
| 8 | 12 | |
| 9 | 248 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 71 | |
| 13 | Adjoint methods for turbomachinery design | 7 |
| 14 | 40 |
About Mihai C. Duta
Mihai C. Duta is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 14 papers that have together received 494 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (8 papers), Turbomachinery Performance and Optimization (6 papers) and Fluid Dynamics and Turbulent Flows (3 papers). The work is most often cited by research in Computational Mechanics (392 citations), Statistics, Probability and Uncertainty (72 citations) and Aerospace Engineering (181 citations). Mihai C. Duta has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Michael B. Giles, Jens‐Dominik Müller, Niles A. Pierce, M. Sergio Campobasso, Jens-Dominik Müeller, Shahrokh Shahpar, Simón Cox, Richard Boardman, Liming Chen and Hakki Eres. Their work appears in journals such as AIAA Journal, Journal of Sound and Vibration and International Journal for Numerical Methods in Fluids.
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.