Jared Callaham
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 8
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- Fluid Dynamics and Turbulent Flows 5
- Fluid Dynamics and Vibration Analysis 2
- Co-authors
- Steven L. Brunton (11 shared papers)Jean-Christophe Loiseau (5 shared papers)J. Nathan Kutz (5 shared papers)Alan A. Kaptanoglu (2 shared papers)Georgios Rigas (2 shared papers)Aleksandr Y. Aravkin (2 shared papers)C. Hansen (1 shared paper)Bingni W. Brunton (1 shared paper)
- Journals
- Journal of Fluid Mechanics (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Nature Communications (1 paper)AIAA Journal (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Jared Callaham
13 papers receiving 388 citations
Jared Callaham's Hit Papers
Peers
Comparison fields: 5 of 66
- Statistical and Nonlinear Physics 239
- Statistics, Probability and Uncertainty 68
- Computational Mechanics 118
- Control and Systems Engineering 75
- Artificial Intelligence 85
Countries citing papers authored by Jared Callaham
This map shows the geographic impact of Jared Callaham'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 Jared Callaham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Callaham more than expected).
Fields of papers citing papers by Jared Callaham
This network shows the impact of papers produced by Jared Callaham. 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 Jared Callaham. The network helps show where Jared Callaham may publish in the future.
Co-authors
The 16 scholars most cited alongside Jared Callaham, 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 | PySINDy: A comprehensive Python package for robust sparse system identification Hit paper breakdown → | 2022 | 105 |
| 2 | 2021 | 66 | |
| 3 | 2021 | 56 | |
| 4 | 2021 | 52 | |
| 5 | 2022 | 34 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 2 | |
| 13 | Robust reconstruction of flow fields from limited measurements | 2018 | 1 |
About Jared Callaham
Jared Callaham is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Statistics, Probability and Uncertainty, Condensed Matter Physics and Control and Systems Engineering, having authored 13 papers that have together received 404 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (8 papers), Fluid Dynamics and Turbulent Flows (5 papers), Probabilistic and Robust Engineering Design (4 papers), Theoretical and Computational Physics (2 papers), Fluid Dynamics and Vibration Analysis (2 papers), Material Dynamics and Properties (1 paper), Reservoir Engineering and Simulation Methods (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (239 citations), Statistics, Probability and Uncertainty (68 citations), Computational Mechanics (118 citations), Control and Systems Engineering (75 citations) and Artificial Intelligence (85 citations). Jared Callaham has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Steven L. Brunton, Jean-Christophe Loiseau, J. Nathan Kutz, Alan A. Kaptanoglu, Georgios Rigas, Aleksandr Y. Aravkin, C. Hansen, Bingni W. Brunton, Brian M. de Silva and Zachary G. Nicolaou. Their work appears in journals such as Journal of Fluid Mechanics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Nature Communications, AIAA Journal and Science Advances.
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.