Claire E. Heaney
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 18
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- Advanced Numerical Methods in Computational Mathematics 6
- Lattice Boltzmann Simulation Studies 4
- Fluid Dynamics and Vibration Analysis 4
- Co-authors
- Christopher C. Pain (28 shared papers)I. M. Navon (6 shared papers)F. Fang (4 shared papers)Dunhui Xiao (3 shared papers)Omar K. Matar (5 shared papers)Laetitia Mottet (3 shared papers)Paul N. Smith (2 shared papers)Charles E. Augarde (2 shared papers)
- Journals
- Computer Methods in Applied Mechanics and Engineering (3 papers)Energies (2 papers)Neural Networks (2 papers)Computers & Fluids (2 papers)Journal of Rock Mechanics and Geotechnical Engineering (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Claire E. Heaney
34 papers receiving 574 citations
Peers
Comparison fields: 5 of 76
- Statistical and Nonlinear Physics 231
- Statistics, Probability and Uncertainty 78
- Computational Mechanics 178
- Environmental Engineering 98
- Atmospheric Science 81
Countries citing papers authored by Claire E. Heaney
This map shows the geographic impact of Claire E. Heaney'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 Claire E. Heaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire E. Heaney more than expected).
Fields of papers citing papers by Claire E. Heaney
This network shows the impact of papers produced by Claire E. Heaney. 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 Claire E. Heaney. The network helps show where Claire E. Heaney may publish in the future.
Co-authors
The 25 scholars most cited alongside Claire E. Heaney, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 94 | |
| 2 | 2021 | 80 | |
| 3 | 2019 | 56 | |
| 4 | 2020 | 47 | |
| 5 | 2019 | 39 | |
| 6 | 2011 | 37 | |
| 7 | 2022 | 36 | |
| 8 | 2014 | 32 | |
| 9 | 2012 | 20 | |
| 10 | 2023 | 12 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2024 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2024 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 6 |
About Claire E. Heaney
Claire E. Heaney is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Aerospace Engineering, Ocean Engineering and Civil and Structural Engineering, having authored 37 papers that have together received 585 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (18 papers), Advanced Numerical Methods in Computational Mathematics (6 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Probabilistic and Robust Engineering Design (5 papers), Meteorological Phenomena and Simulations (5 papers), Numerical methods in engineering (4 papers), Lattice Boltzmann Simulation Studies (4 papers) and Fluid Dynamics and Vibration Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (231 citations), Statistics, Probability and Uncertainty (78 citations), Computational Mechanics (178 citations), Environmental Engineering (98 citations) and Atmospheric Science (81 citations). Claire E. Heaney has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Christopher C. Pain, I. M. Navon, F. Fang, Dunhui Xiao, Omar K. Matar, Laetitia Mottet, Paul N. Smith, Charles E. Augarde, Xiaoying Zhuang and Pablo Salinas. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Energies, Neural Networks, Computers & Fluids and Journal of Rock Mechanics and Geotechnical Engineering.
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.