Eric Brown
- Computational Mechanics top 0.5%
- Fluid Dynamics and Turbulent Flows 18
- Granular flow and fluidized beds 10
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- Rheology and Fluid Dynamics Studies 7
- Biomedical Engineering top 1%
- Nanoplatforms for cancer theranostics 4
- Mechanical Engineering top 2%
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- Plant Water Relations and Carbon Dynamics 10
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- Material Dynamics and Properties 8
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- Wind and Air Flow Studies 6
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- Geomagnetism and Paleomagnetism Studies 5
Eric Brown
45 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Computational Mechanics 1.7k
- Fluid Flow and Transfer Processes 364
- Biomedical Engineering 2.5k
- Control and Systems Engineering 905
- Mechanical Engineering 1.2k
Countries citing papers authored by Eric Brown
This map shows the geographic impact of Eric Brown'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 Eric Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Brown more than expected).
Fields of papers citing papers by Eric Brown
This network shows the impact of papers produced by Eric Brown. 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 Eric Brown. The network helps show where Eric Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Brown, 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 | 2025 | 1 | |
| 2 | 2018 | 22 | |
| 3 | 2018 | 20 | |
| 4 | 2018 | 14 | |
| 5 | 2016 | 33 | |
| 6 | 2015 | 69 | |
| 7 | 2014 | 1 | |
| 8 | 2014 | 47 | |
| 9 | 2014 | 14 | |
| 10 | 2013 | 6 | |
| 11 | 2013 | 31 | |
| 12 | 2012 | 53 | |
| 13 | 2011 | 96 | |
| 14 | 2009 | 174 | |
| 15 | 2009 | 71 | |
| 16 | 2007 | 109 | |
| 17 | 2007 | 43 | |
| 18 | Non-Oberbeck-Boussinesq effects in strongly turbulent Rayleigh-Benard convection | 2005 | 1 |
| 19 | 2005 | 148 | |
| 20 | 1996 | 8 |
About Eric Brown
Eric Brown is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Global and Planetary Change, Environmental Engineering and Biomedical Engineering, having authored 46 papers that have together received 4.7k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (18 papers), Plant Water Relations and Carbon Dynamics (10 papers), Granular flow and fluidized beds (10 papers), Material Dynamics and Properties (8 papers), Rheology and Fluid Dynamics Studies (7 papers), Wind and Air Flow Studies (6 papers), Geomagnetism and Paleomagnetism Studies (5 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Fluid Flow and Transfer Processes (364 citations), Biomedical Engineering (2.5k citations), Control and Systems Engineering (905 citations) and Mechanical Engineering (1.2k citations). Eric Brown has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Heinrich M. Jaeger, Guenter Ahlers, John R. Amend, Hod Lipson, E. Steltz, Annan Mozeika, M. R. Zakin, Alexei Nikolaenko, Denis Fünfschilling and Zhenzhi Shi. Their work appears in journals such as Physical review. E, Journal of Fluid Mechanics, Physical Review Letters, Physical Review Fluids and Physics of Fluids.
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.