Bryan Glaz
Impact in
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- Probabilistic and Robust Engineering Design
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- Model Reduction and Neural Networks
Papers in
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- Fluid Dynamics and Turbulent Flows 9
- Computational Fluid Dynamics and Aerodynamics 8
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- Model Reduction and Neural Networks 12
- Co-authors
- Peretz P. Friedmann (17 shared papers)Li Liu (3 shared papers)Jaret C. Riddick (7 shared papers)Frank Gardea (8 shared papers)Ying‐Cheng Lai (7 shared papers)Mulugeta Haile (6 shared papers)Mohammad Naraghi (4 shared papers)Jack J. McNamara (3 shared papers)
- Journals
- AIAA Journal (4 papers)Physical Review Research (3 papers)Journal of the American Helicopter Society (2 papers)Journal of Aircraft (2 papers)Nanotechnology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Bryan Glaz
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 73
- Statistics, Probability and Uncertainty 216
- Statistical and Nonlinear Physics 280
- Computational Mechanics 349
- Aerospace Engineering 310
- Computational Theory and Mathematics 105
Countries citing papers authored by Bryan Glaz
This map shows the geographic impact of Bryan Glaz'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 Bryan Glaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Glaz more than expected).
Fields of papers citing papers by Bryan Glaz
This network shows the impact of papers produced by Bryan Glaz. 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 Bryan Glaz. The network helps show where Bryan Glaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Glaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 165 | |
| 2 | 2015 | 99 | |
| 3 | 2010 | 98 | |
| 4 | 2008 | 72 | |
| 5 | 2007 | 57 | |
| 6 | 2023 | 48 | |
| 7 | 2023 | 47 | |
| 8 | 2008 | 39 | |
| 9 | 2014 | 38 | |
| 10 | 2009 | 38 | |
| 11 | 2016 | 33 | |
| 12 | 2021 | 30 | |
| 13 | 2016 | 28 | |
| 14 | 2012 | 24 | |
| 15 | 2009 | 23 | |
| 16 | 2015 | 20 | |
| 17 | 2013 | 18 | |
| 18 | 2017 | 16 | |
| 19 | 2008 | 16 | |
| 20 | 2024 | 13 |
About Bryan Glaz
Bryan Glaz is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics, Aerospace Engineering, Statistics, Probability and Uncertainty and Materials Chemistry, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (12 papers), Probabilistic and Robust Engineering Design (11 papers), Fluid Dynamics and Turbulent Flows (9 papers), Carbon Nanotubes in Composites (9 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Aeroelasticity and Vibration Control (5 papers) and Plasma and Flow Control in Aerodynamics (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (216 citations), Statistical and Nonlinear Physics (280 citations), Computational Mechanics (349 citations), Aerospace Engineering (310 citations) and Computational Theory and Mathematics (105 citations). Bryan Glaz has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peretz P. Friedmann, Li Liu, Jaret C. Riddick, Frank Gardea, Ying‐Cheng Lai, Mulugeta Haile, Li Liu, Mohammad Naraghi, Jack J. McNamara and Andrew Crowell. Their work appears in journals such as AIAA Journal, Physical Review Research, Journal of the American Helicopter Society, Journal of Aircraft and Nanotechnology.
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.