Lee Shunn

529 total citations
12 papers, 408 citations indexed

About

Lee Shunn is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Lee Shunn has authored 12 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Mechanics, 6 papers in Aerospace Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Lee Shunn's work include Combustion and flame dynamics (6 papers), Turbomachinery Performance and Optimization (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Lee Shunn is often cited by papers focused on Combustion and flame dynamics (6 papers), Turbomachinery Performance and Optimization (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). Lee Shunn collaborates with scholars based in United States, Belgium and China. Lee Shunn's co-authors include Frank Ham, Matthias Ihme, Jian Zhang, David Philips, A. Jameson, David Williams, Parviz Moin, Gregory M. Laskowski, Lluís Jofre and Gianluca Iaccarino and has published in prestigious journals such as Journal of Computational Physics, Proceedings of the Combustion Institute and Journal of Computational and Applied Mathematics.

In The Last Decade

Lee Shunn

10 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee Shunn United States 8 368 166 102 71 32 12 408
Bruce A. Perry United States 9 221 0.6× 138 0.8× 86 0.8× 68 1.0× 22 0.7× 22 298
Shashank Yellapantula United States 9 186 0.5× 84 0.5× 112 1.1× 36 0.5× 20 0.6× 33 313
Vincent Perrier France 8 318 0.9× 52 0.3× 193 1.9× 24 0.3× 83 2.6× 23 422
Jonathan F. MacArt United States 11 288 0.8× 111 0.7× 74 0.7× 55 0.8× 15 0.5× 29 339
Riccardo Malpica Galassi Italy 15 425 1.2× 324 2.0× 162 1.6× 61 0.9× 6 0.2× 49 509
V. Sankaran United States 9 346 0.9× 260 1.6× 116 1.1× 66 0.9× 6 0.2× 16 495
Pietro Paolo Ciottoli Italy 16 493 1.3× 338 2.0× 210 2.1× 56 0.8× 10 0.3× 53 572
R. W. Thatcher United Kingdom 13 314 0.9× 118 0.7× 69 0.7× 22 0.3× 22 0.7× 28 390
B. R. Sanders United States 12 297 0.8× 32 0.2× 52 0.5× 28 0.4× 38 1.2× 24 348
Bruno Savard United States 15 649 1.8× 542 3.3× 224 2.2× 192 2.7× 11 0.3× 31 700

Countries citing papers authored by Lee Shunn

Since Specialization
Citations

This map shows the geographic impact of Lee Shunn'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 Lee Shunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Shunn more than expected).

Fields of papers citing papers by Lee Shunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee Shunn. 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 Lee Shunn. The network helps show where Lee Shunn may publish in the future.

Co-authorship network of co-authors of Lee Shunn

This figure shows the co-authorship network connecting the top 25 collaborators of Lee Shunn. A scholar is included among the top collaborators of Lee Shunn 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 Lee Shunn. Lee Shunn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
3.
Laskowski, Gregory M., et al.. (2017). Uncertainty Quantification in Large Eddy Simulations of a Rich-Dome Aviation Gas Turbine. QRU Quaderns de Recerca en Urbanisme. 13 indexed citations
4.
Laskowski, Gregory M., et al.. (2016). Detailed Large Eddy Simulations (LES) of Multi-Hole Effusion Cooling Flow for Gas Turbines. Journal of International Crisis and Risk Communication Research. 8 indexed citations
5.
Williams, David, Lee Shunn, & A. Jameson. (2014). Symmetric quadrature rules for simplexes based on sphere close packed lattice arrangements. Journal of Computational and Applied Mathematics. 266. 18–38. 47 indexed citations
6.
Shunn, Lee, et al.. (2014). Large eddy simulations of the HIFiRE scramjet using a compressible flamelet/progress variable approach. Proceedings of the Combustion Institute. 35(2). 2163–2172. 101 indexed citations
7.
Shunn, Lee & Frank Ham. (2012). Symmetric quadrature rules for tetrahedra based on a cubic close-packed lattice arrangement. Journal of Computational and Applied Mathematics. 236(17). 4348–4364. 36 indexed citations
8.
Stoots, C. M., Lee Shunn, & James E. O’Brien. (2012). Integrated Operation of the INL HYTEST System and High-Temperature Steam Electrolysis for Synthetic Natural Gas Production. Nuclear Technology. 178(1). 83–93. 4 indexed citations
9.
Ihme, Matthias, Lee Shunn, & Jian Zhang. (2012). Regularization of reaction progress variable for application to flamelet-based combustion models. Journal of Computational Physics. 231(23). 7715–7721. 147 indexed citations
10.
Shunn, Lee, Frank Ham, & Parviz Moin. (2012). Verification of variable-density flow solvers using manufactured solutions. Journal of Computational Physics. 231(9). 3801–3827. 39 indexed citations
11.
Shunn, Lee. (2009). Large-eddy simulation of combustion systems with convective heat-loss. 12 indexed citations
12.
Shunn, Lee, Frank S. Ham, Patrick Knupp, & Parviz Moin. (2007). Verification of low-Mach number combustion codes using the method of manufactured solutions. Bulletin of the American Physical Society. 60. 1 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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