Jack Weatheritt
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 1%
- Fluid Dynamics and Turbulent Flows
- Fluid Dynamics and Vibration Analysis
- Computational Fluid Dynamics and Aerodynamics
Papers in
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- Fluid Dynamics and Turbulent Flows 13
- Fluid Dynamics and Vibration Analysis 4
- Computational Fluid Dynamics and Aerodynamics 2
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- Turbomachinery Performance and Optimization 4
- Aerodynamics and Fluid Dynamics Research 2
- Co-authors
- Richard D. Sandberg (15 shared papers)Vittorio Michelassi (6 shared papers)Harshal D. Akolekar (3 shared papers)Yaomin Zhao (2 shared papers)Gregory M. Laskowski (5 shared papers)Nicholas Hutchins (2 shared papers)Ali Haghiri (2 shared papers)Andrew Ooi (2 shared papers)
- Journals
- Journal of Computational Physics (3 papers)Alzheimer s & Dementia (2 papers)Journal of Turbomachinery (2 papers)Journal of Ship Research (1 paper)International Journal of Heat and Fluid Flow (1 paper)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Jack Weatheritt
17 papers receiving 832 citations
Jack Weatheritt's Hit Papers
Peers
Comparison fields: 5 of 50
- Statistical and Nonlinear Physics 466
- Computational Mechanics 701
- Aerospace Engineering 326
- Statistics, Probability and Uncertainty 68
- Environmental Engineering 133
Countries citing papers authored by Jack Weatheritt
This map shows the geographic impact of Jack Weatheritt'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 Jack Weatheritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Weatheritt more than expected).
Fields of papers citing papers by Jack Weatheritt
This network shows the impact of papers produced by Jack Weatheritt. 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 Jack Weatheritt. The network helps show where Jack Weatheritt may publish in the future.
Co-authors
The 18 scholars most cited alongside Jack Weatheritt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 249 | |
| 2 | RANS turbulence model development using CFD-driven machine learning Hit paper breakdown → | 2020 | 209 |
| 3 | 2017 | 120 | |
| 4 | 2018 | 42 | |
| 5 | 2018 | 41 | |
| 6 | 2018 | 39 | |
| 7 | 2017 | 39 | |
| 8 | 2019 | 38 | |
| 9 | 2017 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 17 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 9 | |
| 14 | 2015 | 4 | |
| 15 | 2023 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2021 | 1 |
About Jack Weatheritt
Jack Weatheritt is a scholar working on Computational Mechanics, Aerospace Engineering, Statistical and Nonlinear Physics, Mechanical Engineering and Environmental Engineering, having authored 17 papers that have together received 871 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (13 papers), Heat Transfer Mechanisms (6 papers), Model Reduction and Neural Networks (6 papers), Fluid Dynamics and Vibration Analysis (4 papers), Turbomachinery Performance and Optimization (4 papers), Wind and Air Flow Studies (3 papers), Aerodynamics and Fluid Dynamics Research (2 papers) and Computational Fluid Dynamics and Aerodynamics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (466 citations), Computational Mechanics (701 citations), Aerospace Engineering (326 citations), Statistics, Probability and Uncertainty (68 citations) and Environmental Engineering (133 citations). Jack Weatheritt has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Richard D. Sandberg, Vittorio Michelassi, Harshal D. Akolekar, Yaomin Zhao, Gregory M. Laskowski, Nicholas Hutchins, Ali Haghiri, Andrew Ooi, Koichi Tanimoto and Mohsen Talei. Their work appears in journals such as Journal of Computational Physics, Alzheimer s & Dementia, Journal of Turbomachinery, Journal of Ship Research and International Journal of Heat and Fluid Flow.
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.