Thomas D. Economon

2.7k total citations · 2 hit papers
57 papers, 1.9k citations indexed

About

Thomas D. Economon is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Thomas D. Economon has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computational Mechanics, 24 papers in Aerospace Engineering and 18 papers in Applied Mathematics. Recurrent topics in Thomas D. Economon's work include Computational Fluid Dynamics and Aerodynamics (40 papers), Gas Dynamics and Kinetic Theory (18 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). Thomas D. Economon is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (40 papers), Gas Dynamics and Kinetic Theory (18 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). Thomas D. Economon collaborates with scholars based in United States, Germany and United Kingdom. Thomas D. Economon's co-authors include Juan J. Alonso, Francisco Palacios, Trent Lukaczyk, Sean R. Copeland, Michael Colonno, J. Zico Kolter, Aniket Aranake, Tim A. Albring, Thomas W. Taylor and Alejandro Campos and has published in prestigious journals such as Journal of Computational Physics, Fuel and AIAA Journal.

In The Last Decade

Thomas D. Economon

55 papers receiving 1.8k citations

Hit Papers

SU2: An Open-Source Suite for Multiphysics Simulation and... 2013 2026 2017 2021 2015 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas D. Economon United States 20 1.3k 898 295 291 256 57 1.9k
Marian Nemec United States 24 1.4k 1.1× 766 0.9× 224 0.8× 165 0.6× 325 1.3× 62 1.8k
Eric J. Nielsen United States 26 2.3k 1.9× 701 0.8× 259 0.9× 334 1.1× 546 2.1× 114 2.8k
Trent Lukaczyk United States 11 793 0.6× 624 0.7× 310 1.1× 200 0.7× 169 0.7× 15 1.4k
Siva Nadarajah Canada 22 1.5k 1.2× 716 0.8× 171 0.6× 261 0.9× 218 0.9× 96 1.7k
Christian B Allen United Kingdom 24 1.6k 1.2× 674 0.8× 257 0.9× 271 0.9× 121 0.5× 124 2.0k
Francisco Palacios Spain 26 1.4k 1.1× 777 0.9× 384 1.3× 292 1.0× 320 1.3× 100 2.7k
K. J. Badcock United Kingdom 32 2.4k 1.9× 1.7k 1.9× 445 1.5× 565 1.9× 209 0.8× 127 2.9k
James Reuther United States 20 1.0k 0.8× 674 0.8× 324 1.1× 173 0.6× 330 1.3× 48 1.6k
Feng Liu United States 29 2.1k 1.6× 1.8k 2.0× 189 0.6× 180 0.6× 133 0.5× 238 3.0k
Richard P. Dwight Netherlands 20 1.2k 0.9× 472 0.5× 391 1.3× 517 1.8× 107 0.4× 66 1.7k

Countries citing papers authored by Thomas D. Economon

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Economon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas D. Economon. 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 Thomas D. Economon. The network helps show where Thomas D. Economon may publish in the future.

Co-authorship network of co-authors of Thomas D. Economon

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. Economon. A scholar is included among the top collaborators of Thomas D. Economon 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 Thomas D. Economon. Thomas D. Economon 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
2.
Beishuizen, Nijso, et al.. (2024). Automatic adjoint-based design optimization for laminar combustion applications. Fuel. 370. 131751–131751. 1 indexed citations
3.
Economon, Thomas D., et al.. (2022). Discrete adjoint methodology for general multiphysics problems. Structural and Multidisciplinary Optimization. 65(1). 7 indexed citations
4.
Economon, Thomas D., et al.. (2020). Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. International Conference on Machine Learning. 1. 2402–2411. 110 indexed citations
5.
Economon, Thomas D., et al.. (2018). Low-cost unsteady discrete adjoints for aeroacoustic optimization using temporal and spatial coarsening techniques. 2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. 12 indexed citations
6.
Rubino, Antonio, Matteo Pini, Piero Colonna, et al.. (2018). Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method. Journal of Computational Physics. 372. 220–235. 33 indexed citations
7.
Economon, Thomas D., et al.. (2017). Computations of Active Flow Control for Heavy Vehicle Drag Reduction. 2 indexed citations
8.
Silva, Roberto Gil Annes da, et al.. (2017). Hybrid RANS/LES Calculations in SU2. 18 indexed citations
9.
Economon, Thomas D., et al.. (2016). Mulit-Objective Optimization of a Hypersonic Inlet Using Generalized Outflow Boundary Conditions in the Continuous Adjoint Method. 54th AIAA Aerospace Sciences Meeting. 6 indexed citations
10.
Economon, Thomas D., et al.. (2016). Robust uniform time sampling approach for the harmonic balance method. 46th AIAA Fluid Dynamics Conference. 10 indexed citations
11.
Thomas, David, Thomas D. Economon, Juan J. Alonso, et al.. (2016). ASSESSMENT OF THE FLUID-STRUCTURE INTERACTION CAPABILITIES FOR AERONAUTICAL APPLICATIONS OF THE OPEN-SOURCE SOLVER SU2.. Open Repository and Bibliography (University of Liège). 1498–1529. 16 indexed citations
12.
Economon, Thomas D., Francisco Palacios, & Juan J. Alonso. (2015). Unsteady Continuous Adjoint Approach for Aerodynamic Design on Dynamic Meshes. AIAA Journal. 53(9). 2437–2453. 35 indexed citations
13.
Palacios, Francisco, Thomas D. Economon, & Juan J. Alonso. (2015). Large-scale aircraft design using SU2. 53rd AIAA Aerospace Sciences Meeting. 30 indexed citations
14.
Economon, Thomas D., et al.. (2015). Techniques for the Design of Active Flow Control Systems in Heavy Vehicles. 5 indexed citations
15.
Zhou, Beckett Yx, Tim A. Albring, Nicolas R. Gauger, et al.. (2015). A Discrete Adjoint Framework for Unsteady Aerodynamic and Aeroacoustic Optimization. 26 indexed citations
16.
Palacios, Francisco, Thomas D. Economon, Aniket Aranake, et al.. (2014). Stanford University Unstructured (SU2): Analysis and Design Technology for Turbulent Flows. 52nd Aerospace Sciences Meeting. 106 indexed citations
17.
Economon, Thomas D., Francisco Palacios, & Juan J. Alonso. (2013). A Viscous Continuous Adjoint Approach for the Design of Rotating Engineering Applications. 26 indexed citations
18.
Economon, Thomas D., Francisco Palacios, & Juan J. Alonso. (2013). Unsteady Aerodynamic Design on Unstructured Meshes with Sliding Interfaces. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 13 indexed citations
19.
Economon, Thomas D., Francisco Palacios, & Juan J. Alonso. (2012). A Coupled-Adjoint Method for Aerodynamic and Aeroacoustic Optimization. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 20 indexed citations
20.
Economon, Thomas D.. (2008). Effects of Wake Vortices on Commercial Aircraft. 46th AIAA Aerospace Sciences Meeting and Exhibit. 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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