Thomas D. Economon
- Computational Mechanics top 0.5%
- Aerospace Engineering top 1%
- Statistics, Probability and Uncertainty top 0.5%
- Statistical and Nonlinear Physics top 2%
- Applied Mathematics top 2%
- Co-authors
- Juan J. AlonsoFrancisco PalaciosTrent LukaczykSean R. CopelandMichael ColonnoJ. Zico KolterAniket AranakeTim A. Albring
- Topics
- Computational Fluid Dynamics and Aerodynamics (40 papers)Gas Dynamics and Kinetic Theory (18 papers)Advanced Numerical Methods in Computational Mathematics (13 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Thomas D. Economon
55 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computational Mechanics 1.3k
- Aerospace Engineering 898
- Statistics, Probability and Uncertainty 295
- Statistical and Nonlinear Physics 291
- Applied Mathematics 256
Countries citing papers authored by Thomas D. Economon
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction | 110 |
| 5 | 12 | |
| 6 | 33 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 16 | |
| 13 | 35 | |
| 14 | 30 | |
| 15 | 106 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 26 | |
| 19 | 20 | |
| 20 | 3 |
About Thomas D. Economon
Thomas D. Economon is a scholar working on Computational Mechanics, Applied Mathematics and Aerospace Engineering, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this 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). The work is most often cited by research in Computational Mechanics (1.3k citations), Statistics, Probability and Uncertainty (295 citations) and Aerospace Engineering (898 citations). Thomas D. Economon has collaborated with scholars based in United States, Germany and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Computational Physics, Fuel and AIAA Journal.
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.