K. J. Badcock

3.7k total citations
127 papers, 2.9k citations indexed

About

K. J. Badcock is a scholar working on Computational Mechanics, Aerospace Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, K. J. Badcock has authored 127 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computational Mechanics, 63 papers in Aerospace Engineering and 25 papers in Statistical and Nonlinear Physics. Recurrent topics in K. J. Badcock's work include Computational Fluid Dynamics and Aerodynamics (96 papers), Fluid Dynamics and Turbulent Flows (48 papers) and Model Reduction and Neural Networks (24 papers). K. J. Badcock is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (96 papers), Fluid Dynamics and Turbulent Flows (48 papers) and Model Reduction and Neural Networks (24 papers). K. J. Badcock collaborates with scholars based in United Kingdom, United States and Netherlands. K. J. Badcock's 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 and has published in prestigious journals such as International Journal of Molecular Sciences, AIAA Journal and Progress in Aerospace Sciences.

In The Last Decade

K. J. Badcock

124 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. J. Badcock United Kingdom 32 2.4k 1.7k 565 445 253 127 2.9k
Zhengyin Ye China 28 2.1k 0.9× 1.5k 0.8× 582 1.0× 221 0.5× 349 1.4× 188 2.7k
Feng Liu United States 29 2.1k 0.9× 1.8k 1.0× 180 0.3× 189 0.4× 165 0.7× 238 3.0k
Thomas D. Economon United States 20 1.3k 0.5× 898 0.5× 291 0.5× 295 0.7× 140 0.6× 57 1.9k
John T. Batina United States 27 2.5k 1.0× 1.1k 0.6× 270 0.5× 189 0.4× 170 0.7× 82 2.9k
Eric J. Nielsen United States 26 2.3k 1.0× 701 0.4× 334 0.6× 259 0.6× 143 0.6× 114 2.8k
Christian B Allen United Kingdom 24 1.6k 0.7× 674 0.4× 271 0.5× 257 0.6× 107 0.4× 124 2.0k
James D. Baeder United States 28 2.3k 1.0× 2.0k 1.1× 185 0.3× 104 0.2× 341 1.3× 226 2.9k
John Vassberg United States 28 2.8k 1.1× 1.7k 1.0× 182 0.3× 222 0.5× 291 1.2× 83 3.3k
Jeffrey Thomas United States 21 2.2k 0.9× 1.4k 0.8× 879 1.6× 540 1.2× 210 0.8× 74 2.6k
Siva Nadarajah Canada 22 1.5k 0.6× 716 0.4× 261 0.5× 171 0.4× 91 0.4× 96 1.7k

Countries citing papers authored by K. J. Badcock

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ronch, Andrea Da, et al.. (2012). Requirements for computer generated aerodynamic models for aircraft stability and control analysis. ePrints Soton (University of Southampton). 2 indexed citations
2.
Marques, Simão, K. J. Badcock, Hamed Haddad Khodaparast, & John E. Mottershead. (2012). How Structural Model Variability Influences Transonic Aeroelastic Stability. Journal of Aircraft. 49(5). 1189–1199. 10 indexed citations
3.
Ronch, Andrea Da, et al.. (2011). Vortical Flow Prediction Validation for an Unmanned Combat Air Vehicle Model. Journal of Aircraft. 48(6). 1948–1959. 14 indexed citations
4.
Badcock, K. J., Sebastian Timme, Simão Marques, et al.. (2011). Transonic aeroelastic simulation for instability searches and uncertainty analysis. Progress in Aerospace Sciences. 47(5). 392–423. 65 indexed citations
5.
Richardson, Thomas, et al.. (2011). Analysis of the Boeing 747-100 using CEASIOM. Progress in Aerospace Sciences. 47(8). 660–673. 11 indexed citations
6.
Khodaparast, Hamed Haddad, Simão Marques, K. J. Badcock, & John E. Mottershead. (2009). Estimation of flutter boundaries in the presence of structural uncertainty by probabilistic and fuzzy methods. Research Portal (Queen's University Belfast). 1 indexed citations
7.
Barakos, George N., et al.. (2007). Experimental and CFD Investigation of Helicopter BERP Tip Aerodynamics. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 3 indexed citations
8.
Badcock, K. J., et al.. (2006). The Application of Sparse Matrix Techniques to the CFD-Based Aeroelastic Bifurcation Analysis of a Symmetric Aerofoil. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 6 indexed citations
9.
Vio, Gareth A., et al.. (2006). Aeroelastic System Identification using Transonic CFD data for a 3D Wing. Open Repository and Bibliography (University of Liège).
10.
Steijl, R., George N. Barakos, & K. J. Badcock. (2006). Parallelisation of CFD methods for multi-physics problems. Research Repository (Delft University of Technology). 2 indexed citations
11.
Badcock, K. J., et al.. (2005). Analysis and Control of Weapon Bay Flows. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 indexed citations
12.
Barakos, George N., et al.. (2005). Numerical Investigation of 3D Dynamic Stall in Rotation Using CFD and Neural Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1 indexed citations
13.
Badcock, K. J., et al.. (2005). A Numerical Study of Hypersonic Turbulent Film Cooling. 43rd AIAA Aerospace Sciences Meeting and Exhibit. 5 indexed citations
14.
Barakos, George N., et al.. (2005). Investigation of Three-Dimensional Dynamic Stall Using Computational Fluid Dynamics. AIAA Journal. 43(5). 1023–1033. 123 indexed citations
15.
Badcock, K. J., B. E. Richards, & Mark Woodgate. (2000). Elements of computational fluid dynamics on block structured grids using implicit solvers. Progress in Aerospace Sciences. 36(5-6). 351–392. 150 indexed citations
16.
Badcock, K. J., et al.. (2000). Solution of the unsteady Euler equations in three dimensions using a fully unfactored method. 38th Aerospace Sciences Meeting and Exhibit. 4 indexed citations
17.
Badcock, K. J., et al.. (2000). Numerical Study of Shock-Reflection Hysteresis in an Underexpanded Jet. AIAA Journal. 38(2). 275–283. 53 indexed citations
18.
Henderson, James H., K. J. Badcock, & B. E. Richards. (2000). Understanding subsonic and transonic open cavity flows and supression of cavity tones. 38th Aerospace Sciences Meeting and Exhibit. 8 indexed citations
19.
Woodgate, Mark, et al.. (2000). A grid deformation technique for unsteady flow computations. International Journal for Numerical Methods in Fluids. 32(3). 285–311. 45 indexed citations
20.
Badcock, K. J., et al.. (1999). Numerical Study of an Under-Expanded Jet. International Journal of Molecular Sciences. 426(16). 111. 7 indexed citations

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.

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