Hayden Schaeffer
- Statistical and Nonlinear Physics top 1%
- Computational Mechanics top 5%
- Artificial Intelligence top 5%
- Statistics, Probability and Uncertainty top 1%
- Control and Systems Engineering top 5%
- Co-authors
- Stanley OsherLinan ZhangScott G. McCallaRussel E. CaflischCory D. HauckGiang TranRachel WardIb A. Svendsen
- Topics
- Sparse and Compressive Sensing Techniques (11 papers)Model Reduction and Neural Networks (11 papers)Image and Signal Denoising Methods (7 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyComputational Mechanics
- Journals
- Proceedings of the National Academy of SciencesJournal of Computational PhysicsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Hayden Schaeffer
34 papers receiving 948 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Statistical and Nonlinear Physics 584
- Computational Mechanics 259
- Artificial Intelligence 230
- Statistics, Probability and Uncertainty 227
- Control and Systems Engineering 212
Countries citing papers authored by Hayden Schaeffer
This map shows the geographic impact of Hayden Schaeffer'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 Hayden Schaeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayden Schaeffer more than expected).
Fields of papers citing papers by Hayden Schaeffer
This network shows the impact of papers produced by Hayden Schaeffer. 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 Hayden Schaeffer. The network helps show where Hayden Schaeffer may publish in the future.
Co-authorship network of co-authors of Hayden Schaeffer
This figure shows the co-authorship network connecting the top 25 collaborators of Hayden Schaeffer. A scholar is included among the top collaborators of Hayden Schaeffer 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 Hayden Schaeffer. Hayden Schaeffer 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 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 21 | |
| 11 | 7 | |
| 12 | 7 | |
| 13 | Function Approximation via Sparse Random Features. | 2 |
| 14 | 8 | |
| 15 | 131 | |
| 16 | Learning partial differential equations via data discovery and sparse optimizationbreakdown → | 275 |
| 17 | 20 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Hayden Schaeffer
Hayden Schaeffer is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 987 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (11 papers), Model Reduction and Neural Networks (11 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (584 citations), Statistics, Probability and Uncertainty (227 citations) and Computational Mechanics (259 citations). Hayden Schaeffer has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Stanley Osher, Linan Zhang, Scott G. McCalla, Russel E. Caflisch, Cory D. Hauck, Giang Tran, Rachel Ward, Ib A. Svendsen, Thomas Y. Hou and Zecheng Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Computer Methods in Applied Mechanics and 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.