Brian Argrow
- Applied Mathematics top 2%
- Gas Dynamics and Kinetic Theory 34
- Aerospace Engineering top 1%
- Aerospace and Aviation Technology 27
- Air Traffic Management and Optimization 19
- UAV Applications and Optimization 11
- Computational Mechanics top 1%
- Computational Fluid Dynamics and Aerodynamics 39
- Fluid Dynamics and Turbulent Flows 15
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations 27
- Environmental Engineering top 5%
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- Atmospheric aerosols and clouds 14
- Co-authors
- Eric W. FrewJack ElstonR. E. GravesMarcin PilinskiS. E. PaloGeorge EmanuelDale LawrenceCory Dixon
- Journals
- Journal of Atmospheric and Oceanic Technology (8 papers)Journal of Spacecraft and Rockets (7 papers)AIAA Journal (5 papers)
- Partner nations
- United StatesItalyTürkiye
In The Last Decade
Brian Argrow
113 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 94
- Applied Mathematics 385
- Aerospace Engineering 903
- Computational Mechanics 644
- Atmospheric Science 355
- Environmental Engineering 211
Countries citing papers authored by Brian Argrow
This map shows the geographic impact of Brian Argrow'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 Brian Argrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Argrow more than expected).
Fields of papers citing papers by Brian Argrow
This network shows the impact of papers produced by Brian Argrow. 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 Brian Argrow. The network helps show where Brian Argrow may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Argrow, 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 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 12 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 5 | |
| 14 | 2016 | 28 | |
| 15 | 2012 | 11 | |
| 16 | 2011 | 52 | |
| 17 | Embedded Reasoning for Atmospheric Science Using Unmanned Aircraft Systems | 2010 | 1 |
| 18 | Cooperative Mobile Sensing Systems for In Situ Measurements in Hazardous Environments | 2005 | 1 |
| 19 | 2001 | 42 | |
| 20 | 1997 | 22 |
About Brian Argrow
Brian Argrow is a scholar working on Applied Mathematics, Aerospace Engineering, Computational Mechanics, Atmospheric Science and Architecture, having authored 124 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (39 papers), Gas Dynamics and Kinetic Theory (34 papers), Meteorological Phenomena and Simulations (27 papers), Aerospace and Aviation Technology (27 papers), Air Traffic Management and Optimization (19 papers), Fluid Dynamics and Turbulent Flows (15 papers), Atmospheric aerosols and clouds (14 papers) and UAV Applications and Optimization (11 papers). The work is most often cited by research in Applied Mathematics (385 citations), Aerospace Engineering (903 citations), Computational Mechanics (644 citations), Atmospheric Science (355 citations) and Environmental Engineering (211 citations). Brian Argrow has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Eric W. Frew, Jack Elston, R. E. Graves, Marcin Pilinski, S. E. Palo, George Emanuel, Dale Lawrence, Cory Dixon, Alberto Guardone and Adam L. Houston. Their work appears in journals such as Journal of Atmospheric and Oceanic Technology, Journal of Spacecraft and Rockets, AIAA Journal, Journal of Aircraft and Earth system science data.
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.