Alexander Hay
- Computational Mechanics top 5%
- Statistical and Nonlinear Physics top 5%
- Statistics, Probability and Uncertainty top 2%
- Control and Systems Engineering top 10%
- Environmental Engineering
- Co-authors
- Dominique PelletierJeff BorggaardStéphane ÉtienneImran AkhtarAlban LeroyerMichel VisonneauAndré GaronYves-Marie Scolan
- Topics
- Computational Fluid Dynamics and Aerodynamics (19 papers)Fluid Dynamics and Vibration Analysis (16 papers)Model Reduction and Neural Networks (13 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational MechanicsStatistical and Nonlinear Physics
- Journals
- Journal of Fluid MechanicsCHEST JournalInternational Journal for Numerical Methods in Fluids
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Alexander Hay
44 papers receiving 370 citations
Peers
Comparison fields: 5 of 45
- Computational Mechanics 313
- Statistical and Nonlinear Physics 178
- Statistics, Probability and Uncertainty 111
- Control and Systems Engineering 76
- Environmental Engineering 67
Countries citing papers authored by Alexander Hay
This map shows the geographic impact of Alexander Hay'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 Alexander Hay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Hay more than expected).
Fields of papers citing papers by Alexander Hay
This network shows the impact of papers produced by Alexander Hay. 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 Alexander Hay. The network helps show where Alexander Hay may publish in the future.
Co-authorship network of co-authors of Alexander Hay
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Hay. A scholar is included among the top collaborators of Alexander Hay 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 Alexander Hay. Alexander Hay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 48 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 15 | |
| 19 | 4 | |
| 20 | 6 |
About Alexander Hay
Alexander Hay is a scholar working on Computational Mechanics, Statistics, Probability and Uncertainty and Statistical and Nonlinear Physics, having authored 46 papers that have together received 386 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (19 papers), Fluid Dynamics and Vibration Analysis (16 papers) and Model Reduction and Neural Networks (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (111 citations), Computational Mechanics (313 citations) and Statistical and Nonlinear Physics (178 citations). Alexander Hay has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Dominique Pelletier, Jeff Borggaard, Stéphane Étienne, Imran Akhtar, Alban Leroyer, Michel Visonneau, André Garon, Yves-Marie Scolan, E. Fontaine and Régis Duvigneau. Their work appears in journals such as Journal of Fluid Mechanics, CHEST Journal and International Journal for Numerical Methods in 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.