K. J. Badcock
- Computational Mechanics top 0.2%
- Aerospace Engineering top 0.5%
- Statistical and Nonlinear Physics top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Environmental Engineering top 5%
- Co-authors
- B. E. RichardsMark WoodgateGeorge N. BarakosAndrea Da RonchMehdi GhoreyshiR. SteijlDániel FesztySebastian Timme
- Topics
- Computational Fluid Dynamics and Aerodynamics (96 papers)Fluid Dynamics and Turbulent Flows (48 papers)Model Reduction and Neural Networks (24 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
K. J. Badcock
124 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 2.4k
- Aerospace Engineering 1.7k
- Statistical and Nonlinear Physics 565
- Statistics, Probability and Uncertainty 445
- Environmental Engineering 253
Countries citing papers authored by K. J. Badcock
This map shows the geographic impact of K. J. Badcock'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 K. J. Badcock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. J. Badcock more than expected).
Fields of papers citing papers by K. J. Badcock
This network shows the impact of papers produced by K. J. Badcock. 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 K. J. Badcock. The network helps show where K. J. Badcock may publish in the future.
Co-authorship network of co-authors of K. J. Badcock
This figure shows the co-authorship network connecting the top 25 collaborators of K. J. Badcock. A scholar is included among the top collaborators of K. J. Badcock 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 K. J. Badcock. K. J. Badcock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Linear Reduced Order Modelling for Gust Response Analysis using the DLR-TAU Code | 13 |
| 2 | 65 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 37 | |
| 6 | Experimental and CFD Investigation of Helicopter BERP Tip Aerodynamics | 3 |
| 7 | 22 | |
| 8 | Aeroelastic System Identification using Transonic CFD data for a 3D Wing | 0 |
| 9 | The Application of Sparse Matrix Techniques to the CFD-Based Aeroelastic Bifurcation Analysis of a Symmetric Aerofoil | 6 |
| 10 | Parallelisation of CFD methods for multi-physics problems | 2 |
| 11 | 12 | |
| 12 | Analysis and Control of Weapon Bay Flows | 2 |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 150 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 1 |
About K. J. Badcock
K. J. Badcock is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 127 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (96 papers), Fluid Dynamics and Turbulent Flows (48 papers) and Model Reduction and Neural Networks (24 papers). The work is most often cited by research in Computational Mechanics (2.4k citations), Aerospace Engineering (1.7k citations) and Statistics, Probability and Uncertainty (445 citations). K. J. Badcock has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include B. E. Richards, Mark Woodgate, George N. Barakos, Andrea Da Ronch, Mehdi Ghoreyshi, R. Steijl, Dániel Feszty, Sebastian Timme, Simão Marques and Okko J. Boelens. Their work appears in journals such as International Journal of Molecular Sciences, AIAA Journal and Progress in Aerospace Sciences.
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.