J. Nathan Kutz
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- Model Reduction and Neural Networks 1
- Control and Systems Engineering top 10%
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- Advanced Numerical Methods in Computational Mathematics 1
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- Numerical methods for differential equations 1
- Co-authors
- Steven L. Brunton
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyControl and Systems Engineering
- Journals
- Nature Computational Science (1 paper)Cambridge University Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
J. Nathan Kutz
2 papers receiving 341 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 115
- Statistics, Probability and Uncertainty 27
- Control and Systems Engineering 74
- Computational Mechanics 59
- Acoustics and Ultrasonics 2
Countries citing papers authored by J. Nathan Kutz
This map shows the geographic impact of J. Nathan Kutz'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 J. Nathan Kutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Nathan Kutz more than expected).
Fields of papers citing papers by J. Nathan Kutz
This network shows the impact of papers produced by J. Nathan Kutz. 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 J. Nathan Kutz. The network helps show where J. Nathan Kutz may publish in the future.
Co-authorship network
The 1 scholars most cited alongside J. Nathan Kutz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 34 | |
| 2 | Data-Driven Science and Engineeringbreakdown → | 2022 | 318 |
About J. Nathan Kutz
J. Nathan Kutz is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Computational Mechanics, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (1 paper), Numerical methods for differential equations (1 paper) and Model Reduction and Neural Networks (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (115 citations), Statistics, Probability and Uncertainty (27 citations), Control and Systems Engineering (74 citations), Computational Mechanics (59 citations) and Acoustics and Ultrasonics (2 citations). J. Nathan Kutz has collaborated with scholars based in United States. Frequent co-authors include Steven L. Brunton. Their work appears in journals such as Nature Computational Science and Cambridge University Press eBooks.
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.