Andrew T. Corrigan

1.1k total citations
63 papers, 818 citations indexed

About

Andrew T. Corrigan is a scholar working on Computational Mechanics, Aerospace Engineering and Hardware and Architecture. According to data from OpenAlex, Andrew T. Corrigan has authored 63 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Mechanics, 32 papers in Aerospace Engineering and 8 papers in Hardware and Architecture. Recurrent topics in Andrew T. Corrigan's work include Computational Fluid Dynamics and Aerodynamics (39 papers), Aerodynamics and Acoustics in Jet Flows (22 papers) and Fluid Dynamics and Turbulent Flows (20 papers). Andrew T. Corrigan is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (39 papers), Aerodynamics and Acoustics in Jet Flows (22 papers) and Fluid Dynamics and Turbulent Flows (20 papers). Andrew T. Corrigan collaborates with scholars based in United States and Germany. Andrew T. Corrigan's co-authors include Rainald Löhner, K. Kailasanath, John Wallin, Douglas Schwer, David A. Kessler, Fernando Camelli, Ephraim Gutmark, Junhui Liu, Junhui Liu and Brian D. Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Andrew T. Corrigan

59 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew T. Corrigan United States 16 592 442 102 85 84 63 818
Stephen M. Guzik United States 13 253 0.4× 134 0.3× 58 0.6× 38 0.4× 46 0.5× 45 405
Xinfeng Gao United States 14 445 0.8× 108 0.2× 35 0.3× 13 0.2× 25 0.3× 59 554
Gabriel Staffelbach France 26 2.5k 4.2× 894 2.0× 598 5.9× 19 0.2× 48 0.6× 66 2.7k
Matthew J. Grismer United States 9 552 0.9× 437 1.0× 28 0.3× 11 0.1× 22 0.3× 15 646
R. Borrell Spain 18 762 1.3× 246 0.6× 12 0.1× 79 0.9× 26 0.3× 56 940
Eric Mestreau United States 13 390 0.7× 130 0.3× 9 0.1× 34 0.4× 65 0.8× 47 572
Nathan S. Hariharan United States 16 627 1.1× 393 0.9× 10 0.1× 15 0.2× 13 0.2× 80 738
Boris Diskin United States 22 1.4k 2.3× 361 0.8× 4 0.0× 33 0.4× 50 0.6× 113 1.6k
Ankit Bhagatwala United States 12 871 1.5× 351 0.8× 64 0.6× 6 0.1× 17 0.2× 16 958
Marc Montagnac France 11 335 0.6× 197 0.4× 9 0.1× 15 0.2× 13 0.2× 23 564

Countries citing papers authored by Andrew T. Corrigan

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Corrigan'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 Andrew T. Corrigan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Corrigan more than expected).

Fields of papers citing papers by Andrew T. Corrigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. Corrigan. 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 Andrew T. Corrigan. The network helps show where Andrew T. Corrigan may publish in the future.

Co-authorship network of co-authors of Andrew T. Corrigan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Corrigan. A scholar is included among the top collaborators of Andrew T. Corrigan 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 Andrew T. Corrigan. Andrew T. Corrigan 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.
Ching, Eric J., et al.. (2024). The moving discontinuous Galerkin method with interface condition enforcement for the simulation of hypersonic, viscous flows. Computer Methods in Applied Mechanics and Engineering. 427. 117045–117045. 1 indexed citations
2.
Johnson, Ryan F., et al.. (2024). Three-Dimensional Compressible Chemically Reacting Computational Fluid Dynamics with Tensor Trains. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
3.
Corrigan, Andrew T., et al.. (2022). THE GREAT MIMICKER: IMMUNE CHECKPOINT INHIBITOR INDUCED MYOCARDITIS. Journal of the American College of Cardiology. 79(9). 2664–2664.
4.
Corrigan, Andrew T., et al.. (2020). A least-squares formulation of the Moving Discontinuous Galerkin Finite Element Method with Interface Condition Enforcement. Computers & Mathematics with Applications. 95. 143–171. 13 indexed citations
5.
Schwer, Douglas, et al.. (2019). Progress in Efficient, High-Fidelity, Rotating Detonation Engine Simulations. AIAA Scitech 2019 Forum. 13 indexed citations
6.
Corrigan, Andrew T., et al.. (2019). The Moving Discontinuous Galerkin Method with Interface Condition Enforcement for Unsteady Three-Dimensional Flows. AIAA Scitech 2019 Forum. 12 indexed citations
7.
Liu, Junhui, Andrew T. Corrigan, Ryan F. Johnson, & Ravi Ramamurti. (2019). Effect of Nozzle Inflow Conditions on Shock-Cell Structure and Noise in Overexpanded Jets. 4 indexed citations
8.
Johnson, Ryan F., et al.. (2019). Discontinuous-Galerkin Simulations of Premixed Ethylene-Air Combustion in a Cavity Combustor. AIAA Scitech 2019 Forum. 3 indexed citations
9.
Corrigan, Andrew T., et al.. (2018). Jet Noise Simulation using a Higher-Order Discontinuous Galerkin Method. 2018 AIAA Aerospace Sciences Meeting. 8 indexed citations
10.
Kessler, David A., et al.. (2018). A Hybrid DSMC-discontinuous Galerkin finite element method for rarefied gas flows. 2018 AIAA Aerospace Sciences Meeting. 1 indexed citations
11.
Liu, Junhui, et al.. (2017). Equilibrium Wall Model Implementation in a Nodal Finite Element Flow Solver JENRE for Large Eddy Simulations. 8 indexed citations
12.
Mott, David R., et al.. (2016). Evaporative Cooling of Idealized Torso Geometries Including Protective Armor. 46th AIAA Fluid Dynamics Conference.
13.
Ramamurti, Ravi, et al.. (2015). Jet Noise Simulations for Complex Nozzle Geometries. International Journal of Aeroacoustics. 14(7). 947–975. 5 indexed citations
14.
Taylor, Brian D., Douglas Schwer, & Andrew T. Corrigan. (2015). Implementation of Thermochemistry and Chemical Kinetics in a GPU-based CFD Code. 53rd AIAA Aerospace Sciences Meeting. 3 indexed citations
15.
Schwer, Douglas, Andrew T. Corrigan, Brian D. Taylor, & K. Kailasanath. (2013). On Reducing Feedback Pressure in Rotating Detonation Engines. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 50 indexed citations
16.
Löhner, Rainald, et al.. (2013). On the Achievable Speeds of Finite Difference Solvers on CPUs and GPUs. 10 indexed citations
17.
Patnaik, Gopal, et al.. (2012). Efficient Utilization of a CPU-GPU Cluster. 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 2 indexed citations
18.
Corrigan, Andrew T., Fernando Camelli, Rainald Löhner, & Fernando Mut. (2011). Semi‐automatic porting of a large‐scale Fortran CFD code to GPUs. International Journal for Numerical Methods in Fluids. 69(2). 314–331. 49 indexed citations
19.
Corrigan, Andrew T., Junhui Liu, K. Kailasanath, & Ravi Ramamurti. (2010). Implementation and Validation of a MILES Solver for the Simulation of Supersonic Jet Flow. Bulletin of the American Physical Society. 63. 2 indexed citations
20.
Corrigan, Andrew T. & Huong Quynh Dinh. (2005). Computing and Rendering Implicit Surfaces Composed of Radial Basis Functions on the GPU. 3 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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