Ido Bright
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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- Stability and Controllability of Differential Equations 2
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- Model Reduction and Neural Networks 3
- Co-authors
- J. Nathan Kutz (3 shared papers)Guang Lin (2 shared papers)Steven L. Brunton (1 shared paper)Jonathan H. Tu (1 shared paper)Zvi Artstein (2 shared papers)J. Jack Lee (1 shared paper)Qinfeng Li (1 shared paper)Ilan Lobel (2 shared papers)
- Journals
- Journal of Differential Equations (2 papers)Nonlinear Differential Equations and Applications NoDEA (1 paper)Management Science (1 paper)ESAIM Control Optimisation and Calculus of Variations (1 paper)SIAM Journal on Applied Dynamical Systems (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Ido Bright
13 papers receiving 211 citations
Peers
Comparison fields: 5 of 48
- Statistical and Nonlinear Physics 127
- Statistics, Probability and Uncertainty 42
- Computational Mechanics 104
- Acoustics and Ultrasonics 2
- Aerospace Engineering 42
Countries citing papers authored by Ido Bright
This map shows the geographic impact of Ido Bright'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 Ido Bright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ido Bright more than expected).
Fields of papers citing papers by Ido Bright
This network shows the impact of papers produced by Ido Bright. 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 Ido Bright. The network helps show where Ido Bright may publish in the future.
Co-authors
The 8 scholars most cited alongside Ido Bright, 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 | 2013 | 116 | |
| 2 | 2014 | 73 | |
| 3 | 2016 | 9 | |
| 4 | 2010 | 9 | |
| 5 | 2012 | 3 | |
| 6 | 2014 | 3 | |
| 7 | 2017 | 3 | |
| 8 | 2015 | 2 | |
| 9 | 2008 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2010 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2012 | 1 |
About Ido Bright
Ido Bright is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Civil and Structural Engineering and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 225 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (3 papers), Stability and Controllability of Differential Equations (2 papers), Probabilistic and Robust Engineering Design (2 papers), Optimization and Variational Analysis (2 papers), Advanced Mathematical Modeling in Engineering (2 papers), Navier-Stokes equation solutions (1 paper), Aerospace Engineering and Control Systems (1 paper) and Geometric Analysis and Curvature Flows (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (127 citations), Statistics, Probability and Uncertainty (42 citations), Computational Mechanics (104 citations), Acoustics and Ultrasonics (2 citations) and Aerospace Engineering (42 citations). Ido Bright has collaborated with scholars based in United States and Israel. Frequent co-authors include J. Nathan Kutz, Guang Lin, Steven L. Brunton, Jonathan H. Tu, Zvi Artstein, J. Jack Lee, Qinfeng Li and Ilan Lobel. Their work appears in journals such as Journal of Differential Equations, Nonlinear Differential Equations and Applications NoDEA, Management Science, ESAIM Control Optimisation and Calculus of Variations and SIAM Journal on Applied Dynamical Systems.
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.