Eric Parish
Impact in
-
- 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
-
- Model Reduction and Neural Networks 21
-
- Probabilistic and Robust Engineering Design 11
- Co-authors
- Karthik Duraisamy (9 shared papers)Kookjin Lee (1 shared paper)Kevin Carlberg (2 shared papers)Karthikeyan Duraisamy (2 shared papers)Francesco Rizzi (2 shared papers)Patrick Blonigan (8 shared papers)Paola Cinnella (1 shared paper)Jean-Pierre Hickey (1 shared paper)
- Journals
- Computer Methods in Applied Mechanics and Engineering (5 papers)Journal of Computational Physics (4 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)Computers & Fluids (1 paper)Physics of Fluids (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Eric Parish
28 papers receiving 701 citations
Eric Parish's Hit Papers
Peers
Comparison fields: 5 of 70
- Statistical and Nonlinear Physics 438
- Computational Mechanics 449
- Statistics, Probability and Uncertainty 124
- Aerospace Engineering 159
- Environmental Engineering 73
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 20 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 30 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 | 457 |
| 2 | 2017 | 41 | |
| 3 | 2017 | 37 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 29 | |
| 6 | 2025 | 19 | |
| 7 | 2015 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2024 | 12 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Eric Parish
Eric Parish is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Computational Mechanics, Environmental Engineering and Numerical Analysis, having authored 30 papers that have together received 729 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (21 papers), Probabilistic and Robust Engineering Design (11 papers), Fluid Dynamics and Turbulent Flows (10 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Wind and Air Flow Studies (4 papers), Fluid Dynamics and Vibration Analysis (4 papers), Numerical methods for differential equations (3 papers) and Rheology and Fluid Dynamics Studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (438 citations), Computational Mechanics (449 citations), Statistics, Probability and Uncertainty (124 citations), Aerospace Engineering (159 citations) and Environmental Engineering (73 citations). Eric Parish has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Karthik Duraisamy, Kookjin Lee, Kevin Carlberg, Karthikeyan Duraisamy, Francesco Rizzi, Patrick Blonigan, Paola Cinnella, Jean-Pierre Hickey, 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, Computers & Fluids 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.