Ryan Mohr
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 7
- Quantum chaos and dynamical systems 1
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- Probabilistic and Robust Engineering Design 6
- Co-authors
- Igor Mezić (9 shared papers)Marko Budišić (1 shared paper)John E. Speich (1 shared paper)Paul H. Ratz (1 shared paper)Maria Fonoberova (5 shared papers)Zlatko Drmač (3 shared papers)Kyathanahalli S. Janardhan (1 shared paper)Sarabjeet Singh Suri (1 shared paper)
- Journals
- PLoS ONE (2 papers)Scientific Reports (1 paper)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)Journal of Nonlinear Science (1 paper)Veterinary Research (1 paper)
- Partner nations
- United StatesCroatiaCanada
In The Last Decade
Ryan Mohr
11 papers receiving 506 citations
Ryan Mohr's Hit Papers
Peers
Comparison fields: 5 of 89
- Statistical and Nonlinear Physics 389
- Statistics, Probability and Uncertainty 123
- Computational Mechanics 164
- Computational Mathematics 3
- Urology 25
Countries citing papers authored by Ryan Mohr
This map shows the geographic impact of Ryan Mohr'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 Ryan Mohr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Mohr more than expected).
Fields of papers citing papers by Ryan Mohr
This network shows the impact of papers produced by Ryan Mohr. 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 Ryan Mohr. The network helps show where Ryan Mohr may publish in the future.
Co-authors
The 12 scholars most cited alongside Ryan Mohr, 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 | Applied Koopmanism Hit paper breakdown → | 2012 | 438 |
| 2 | 2005 | 51 | |
| 3 | 2009 | 10 | |
| 4 | 2024 | 7 | |
| 5 | 2018 | 5 | |
| 6 | 2019 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 3 | |
| 10 | Spectral Properties of the Koopman Operator in the Analysis of Nonstationary Dynamical Systems | 2014 | 2 |
| 11 | 2010 | 1 | |
| 12 | 2015 | 1 |
About Ryan Mohr
Ryan Mohr is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Mathematical Physics, Artificial Intelligence and Aerospace Engineering, having authored 12 papers that have together received 533 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (7 papers), Probabilistic and Robust Engineering Design (6 papers), Mathematical Dynamics and Fractals (2 papers), Nuclear Engineering Thermal-Hydraulics (2 papers), Evacuation and Crowd Dynamics (1 paper), Quantum chaos and dynamical systems (1 paper), Stochastic processes and statistical mechanics (1 paper) and Mathematical and Theoretical Epidemiology and Ecology Models (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (389 citations), Statistics, Probability and Uncertainty (123 citations), Computational Mechanics (164 citations), Computational Mathematics (3 citations) and Urology (25 citations). Ryan Mohr has collaborated with scholars based in United States, Croatia and Canada. Frequent co-authors include Igor Mezić, Marko Budišić, John E. Speich, Paul H. Ratz, Maria Fonoberova, Zlatko Drmač, Kyathanahalli S. Janardhan, Sarabjeet Singh Suri, Anuraag Shrivastav and Baljit Singh. Their work appears in journals such as PLoS ONE, Scientific Reports, Chaos An Interdisciplinary Journal of Nonlinear Science, Journal of Nonlinear Science and Veterinary Research.
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.