Eric Parish
Impact in
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- Model Reduction and Neural Networks
- Computational Mechanics top 2%
- Fluid Dynamics and Turbulent Flows
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Vibration Analysis
Papers in
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- Model Reduction and Neural Networks 20
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- Fluid Dynamics and Turbulent Flows 10
- Computational Fluid Dynamics and Aerodynamics 10
- Fluid Dynamics and Vibration Analysis 3
- Co-authors
- Karthik Duraisamy (8 shared papers)Kookjin Lee (1 shared paper)Kevin Carlberg (1 shared paper)Karthikeyan Duraisamy (2 shared papers)Francesco Rizzi (3 shared papers)Patrick Blonigan (7 shared papers)Praveen Chandrashekar (1 shared paper)Masayuki Yano (1 shared paper)
- Journals
- Computer Methods in Applied Mechanics and Engineering (4 papers)Journal of Computational Physics (3 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)Computational Mechanics (1 paper)Physics of Fluids (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Eric Parish
27 papers receiving 613 citations
Eric Parish's Hit Papers
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 404
- Computational Mechanics 419
- Statistics, Probability and Uncertainty 113
- Aerospace Engineering 151
- Environmental Engineering 69
Countries citing papers authored by Eric Parish
This map shows the geographic impact of Eric Parish'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 Eric Parish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Parish more than expected).
Fields of papers citing papers by Eric Parish
This network shows the impact of papers produced by Eric Parish. 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 Eric Parish. The network helps show where Eric Parish may publish in the future.
Co-authors
The 17 scholars most cited alongside Eric Parish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A paradigm for data-driven predictive modeling using field inversion and machine learning Hit paper breakdown → | 2015 | 419 |
| 2 | 2017 | 34 | |
| 3 | 2017 | 34 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 24 | |
| 6 | 2015 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2025 | 9 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | A Residual-Based Petrov-Galerkin Reduced-Order Model with Memory Effects | 2018 | 4 |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Eric Parish
Eric Parish is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Statistics, Probability and Uncertainty, Environmental Engineering and Numerical Analysis, having authored 27 papers that have together received 648 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (20 papers), Fluid Dynamics and Turbulent Flows (10 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Probabilistic and Robust Engineering Design (9 papers), Numerical methods for differential equations (4 papers), Wind and Air Flow Studies (4 papers), Fluid Dynamics and Vibration Analysis (3 papers) and Nuclear reactor physics and engineering (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (404 citations), Computational Mechanics (419 citations), Statistics, Probability and Uncertainty (113 citations), Aerospace Engineering (151 citations) and Environmental Engineering (69 citations). Eric Parish has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Karthik Duraisamy, Kookjin Lee, Kevin Carlberg, Karthikeyan Duraisamy, Francesco Rizzi, Patrick Blonigan, Praveen Chandrashekar, Masayuki Yano, Traian Iliescu and Francesco Rizzi. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Journal of Computational Physics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Computational Mechanics and Physics of Fluids.
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.