Andrea Da Ronch
- Aerospace Engineering top 1%
- Computational Mechanics top 0.5%
- Statistical and Nonlinear Physics top 2%
- Control and Systems Engineering top 5%
- Statistics, Probability and Uncertainty top 1%
- Co-authors
- K. J. BadcockMehdi GhoreyshiJinwu XiangDaochun LiYining WuKenneth BadcockJernej DrofelnikDongfeng Li
- Topics
- Computational Fluid Dynamics and Aerodynamics (74 papers)Model Reduction and Neural Networks (38 papers)Aerospace and Aviation Technology (29 papers)
- Partner nations
- United KingdomChinaItaly
In The Last Decade
Andrea Da Ronch
118 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Aerospace Engineering 1.1k
- Computational Mechanics 1.1k
- Statistical and Nonlinear Physics 412
- Control and Systems Engineering 305
- Statistics, Probability and Uncertainty 268
Countries citing papers authored by Andrea Da Ronch
This map shows the geographic impact of Andrea Da Ronch'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 Andrea Da Ronch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Da Ronch more than expected).
Fields of papers citing papers by Andrea Da Ronch
This network shows the impact of papers produced by Andrea Da Ronch. 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 Andrea Da Ronch. The network helps show where Andrea Da Ronch may publish in the future.
Co-authorship network of co-authors of Andrea Da Ronch
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Da Ronch. A scholar is included among the top collaborators of Andrea Da Ronch 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 Andrea Da Ronch. Andrea Da Ronch 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 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 8 | |
| 18 | Novel concepts in unmanned aircraft aerodynamics, flight stability, and control | 2 |
| 19 | 65 | |
| 20 | 14 |
About Andrea Da Ronch
Andrea Da Ronch is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 130 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (74 papers), Model Reduction and Neural Networks (38 papers) and Aerospace and Aviation Technology (29 papers). The work is most often cited by research in Computational Mechanics (1.1k citations), Aerospace Engineering (1.1k citations) and Statistics, Probability and Uncertainty (268 citations). Andrea Da Ronch has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include K. J. Badcock, Mehdi Ghoreyshi, Jinwu Xiang, Daochun Li, Yining Wu, Kenneth Badcock, Jernej Drofelnik, Dongfeng Li, Yueming Li and Gang Chen. Their work appears in journals such as Journal of Fluid Mechanics, Journal of Computational Physics and AIAA Journal.
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.