Claire E. Heaney

932 total citations
37 papers, 555 citations indexed

About

Claire E. Heaney is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Claire E. Heaney has authored 37 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 14 papers in Computational Mechanics and 7 papers in Aerospace Engineering. Recurrent topics in Claire E. Heaney's work include Model Reduction and Neural Networks (18 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Nuclear Engineering Thermal-Hydraulics (5 papers). Claire E. Heaney is often cited by papers focused on Model Reduction and Neural Networks (18 papers), Advanced Numerical Methods in Computational Mathematics (6 papers) and Nuclear Engineering Thermal-Hydraulics (5 papers). Claire E. Heaney collaborates with scholars based in United Kingdom, United States and Spain. Claire E. Heaney's co-authors include Christopher C. Pain, I. M. Navon, Dunhui Xiao, F. Fang, Omar K. Matar, Laetitia Mottet, Charles E. Augarde, Paul N. Smith, Xiaoying Zhuang and William E. Lin and has published in prestigious journals such as Scientific Reports, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Claire E. Heaney

33 papers receiving 538 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claire E. Heaney United Kingdom 12 220 172 101 96 93 37 555
G. Tartakovsky United States 8 347 1.6× 143 0.8× 44 0.4× 58 0.6× 274 2.9× 14 795
Jean-Camille Chassaing France 16 74 0.3× 426 2.5× 54 0.5× 163 1.7× 162 1.7× 37 603
Giovanni Stabile Italy 15 523 2.4× 460 2.7× 53 0.5× 198 2.1× 61 0.7× 43 775
Nicholas Geneva United States 7 236 1.1× 233 1.4× 17 0.2× 70 0.7× 37 0.4× 7 469
Murat Tutkun Norway 17 68 0.3× 389 2.3× 40 0.4× 307 3.2× 270 2.9× 52 716
Dominique Pelletier Canada 18 194 0.9× 929 5.4× 127 1.3× 102 1.1× 154 1.7× 92 1.1k
Lin Qiu China 15 128 0.6× 94 0.5× 296 2.9× 20 0.2× 148 1.6× 53 721
Yaomin Zhao China 18 241 1.1× 694 4.0× 34 0.3× 345 3.6× 122 1.3× 51 844
Nanzhe Wang China 16 257 1.2× 108 0.6× 62 0.6× 41 0.4× 230 2.5× 21 796
Luca Bonfiglio United States 12 45 0.2× 188 1.1× 101 1.0× 73 0.8× 73 0.8× 30 405

Countries citing papers authored by Claire E. Heaney

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Claire E. Heaney

This figure shows the co-authorship network connecting the top 25 collaborators of Claire E. Heaney. A scholar is included among the top collaborators of Claire E. Heaney 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 Claire E. Heaney. Claire E. Heaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heaney, Claire E., et al.. (2026). Neural physics: Using AI libraries to develop physics-based solvers for incompressible computational fluid dynamics. Computers & Fluids. 308. 106981–106981.
2.
Naderi, Sadjad, Xin‐She Yang, Christopher C. Pain, et al.. (2025). Optimised hammer drilling bit design using artificial neural networks trained by FDEM-generated data. Journal of Rock Mechanics and Geotechnical Engineering. 17(11). 6868–6880. 1 indexed citations
3.
Heaney, Claire E., et al.. (2025). Solving the discretised shallow water equations using neural networks. Advances in Water Resources. 197. 104903–104903. 4 indexed citations
4.
Guo, Zijian, et al.. (2025). Accelerated physics-based simulations of train aerodynamics using machine learning libraries. Journal of Central South University. 32(12). 4636–4659.
5.
Crilly, Aidan, Claire E. Heaney, Marcus Ghosh, et al.. (2025). Ten simple rules for navigating AI in science. PLoS Computational Biology. 21(7). e1013259–e1013259.
6.
Chen, Zhe, et al.. (2025). Solving the discretised shallow water equations using non-uniform grids and machine-learning libraries. Environmental Modelling & Software. 196. 106752–106752. 1 indexed citations
7.
Naderi, Sadjad, Jiansheng Xiang, Claire E. Heaney, et al.. (2024). A discrete element solution method embedded within a Neural Network. Powder Technology. 448. 120258–120258. 5 indexed citations
8.
Heaney, Claire E., Yuling Li, Omar K. Matar, & Christopher C. Pain. (2024). Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves. Neural Networks. 175. 106198–106198. 11 indexed citations
9.
Xiang, Jiansheng, et al.. (2024). Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations. Neural Networks. 185. 107061–107061. 4 indexed citations
10.
Heaney, Claire E., et al.. (2023). Solving the discretised neutron diffusion equations using neural networks. International Journal for Numerical Methods in Engineering. 124(21). 4659–4686. 12 indexed citations
11.
Kadeethum, Teeratorn, Daniel O’Malley, Francesco Ballarin, et al.. (2022). Enhancing high-fidelity nonlinear solver with reduced order model. Scientific Reports. 12(1). 20229–20229. 10 indexed citations
12.
Heaney, Claire E., et al.. (2022). Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. Journal of Scientific Computing. 94(1). 25–25. 9 indexed citations
13.
Heaney, Claire E., Xiangqi Liu, Z. Wolffs, et al.. (2022). Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings. Frontiers in Physics. 10. 9 indexed citations
14.
Salinas, Pablo, Claire E. Heaney, Lyes Kahouadji, et al.. (2021). Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation. Advances in Engineering Software. 160. 103044–103044. 5 indexed citations
15.
Heaney, Claire E., et al.. (2020). An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion. arXiv (Cornell University). 45 indexed citations
16.
Xiao, Dunhui, F. Fang, Claire E. Heaney, I. M. Navon, & Christopher C. Pain. (2019). A domain decomposition method for the non-intrusive reduced order modelling of fluid flow. Computer Methods in Applied Mechanics and Engineering. 354. 307–330. 36 indexed citations
17.
Xiao, Dunhui, Claire E. Heaney, F. Fang, et al.. (2019). A domain decomposition non-intrusive reduced order model for turbulent flows. Computers & Fluids. 182. 15–27. 53 indexed citations
18.
Heaney, Claire E., Pablo Salinas, F. Fang, Christopher C. Pain, & I. M. Navon. (2018). Goal-based sensitivity maps using time windows and ensemble perturbations. arXiv (Cornell University). 2018. 1 indexed citations
19.
Xiao, Dunhui, Claire E. Heaney, Laetitia Mottet, et al.. (2018). A reduced order model for turbulent flows in the urban environment using machine learning. Building and Environment. 148. 323–337. 87 indexed citations
20.
Heaney, Claire E., Charles E. Augarde, & Andrew Deeks. (2010). Modelling Elasto-Plasticity Using the Hybrid MLPG Method. Computer Modeling in Engineering & Sciences. 56(2). 153–178. 5 indexed citations

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.

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Rankless by CCL
2026