Brian Argrow

3.0k total citations
124 papers, 1.9k citations indexed

About

Brian Argrow is a scholar working on Aerospace Engineering, Computational Mechanics and Applied Mathematics. According to data from OpenAlex, Brian Argrow has authored 124 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Aerospace Engineering, 48 papers in Computational Mechanics and 34 papers in Applied Mathematics. Recurrent topics in Brian Argrow's work include Computational Fluid Dynamics and Aerodynamics (39 papers), Gas Dynamics and Kinetic Theory (34 papers) and Meteorological Phenomena and Simulations (27 papers). Brian Argrow is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (39 papers), Gas Dynamics and Kinetic Theory (34 papers) and Meteorological Phenomena and Simulations (27 papers). Brian Argrow collaborates with scholars based in United States, Italy and Türkiye. Brian Argrow's 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 and has published in prestigious journals such as Journal of Fluid Mechanics, Monthly Weather Review and Sensors.

In The Last Decade

Brian Argrow

113 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian Argrow United States	24	903	644	385	355	271	124	1.9k
Ravi Samtaney Saudi Arabia	29	523 0.6×	1.8k 2.8×	223 0.6×	128 0.4×	82 0.3×	129	2.8k
Ann Almgren United States	29	358 0.4×	2.4k 3.7×	243 0.6×	189 0.5×	70 0.3×	102	4.2k
Barry Koren Netherlands	19	742 0.8×	1.4k 2.2×	208 0.5×	178 0.5×	80 0.3×	113	2.2k
Michael J. Aftosmis United States	32	1.4k 1.6×	2.8k 4.3×	832 2.2×	101 0.3×	139 0.5×	124	3.4k
P. K. Sweby United Kingdom	16	269 0.3×	1.9k 3.0×	552 1.4×	342 1.0×	91 0.3×	39	2.6k
Andrew W. Cook United States	23	345 0.4×	2.2k 3.4×	200 0.5×	206 0.6×	73 0.3×	51	2.7k
Hervé Guillard France	17	317 0.4×	1.3k 2.1×	435 1.1×	131 0.4×	217 0.8×	70	2.1k
Craig L. Streett United States	24	834 0.9×	1.5k 2.3×	123 0.3×	118 0.3×	60 0.2×	83	1.9k
William J. Rider United States	26	548 0.6×	3.6k 5.5×	354 0.9×	287 0.8×	70 0.3×	73	4.2k
Arthur Rizzi Sweden	22	960 1.1×	1.4k 2.2×	251 0.7×	58 0.2×	271 1.0×	158	2.1k

Countries citing papers authored by Brian Argrow

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Brian Argrow

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Argrow. A scholar is included among the top collaborators of Brian Argrow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian Argrow. Brian Argrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ahmed, Nisar, et al.. (2025). “A Good Bot Always Knows Its Limitations”: Assessing Autonomous System Decision-Making Competencies through Factorized Machine Self-Confidence. ACM Transactions on Human-Robot Interaction. 14(4). 1–63.

Argrow, Brian, et al.. (2023). Apparatus for calibration of fine-wire sensors at stratospheric conditions. Experimental Thermal and Fluid Science. 149. 111016–111016. 1 indexed citations

Argrow, Brian, et al.. (2023). The voxelized photon Monte Carlo method for hypersonic radiation modeling. Computers & Fluids. 271. 106168–106168.

Thornberry, Troy, R. S. Gao, S. J. Ciciora, et al.. (2023). A Lightweight Remote Sensing Payload for Wildfire Detection and Fire Radiative Power Measurements. Sensors. 23(7). 3514–3514. 4 indexed citations

Wilson, Matthew B., Adam L. Houston, Conrad L. Ziegler, et al.. (2023). Environmental and Storm-Scale Controls on Close Proximity Supercells Observed by TORUS on 8 June 2019. Monthly Weather Review. 151(12). 3013–3035. 3 indexed citations

Boer, Gijs de, Radiance Calmer, Gina Jozef, et al.. (2022). Observing the Central Arctic Atmosphere and Surface with University of Colorado uncrewed aircraft systems. Scientific Data. 9(1). 439–439. 15 indexed citations

Boer, Gijs de, Radiance Calmer, Christopher J. Cox, et al.. (2022). Measurements from the University of Colorado RAAVEN Uncrewed Aircraft System during ATOMIC. Earth system science data. 14(1). 19–31. 10 indexed citations

Argrow, Brian, et al.. (2021). Low-Speed DSMC Simulations of Hotwire Anemometers at High-Altitude Conditions. Fluids. 6(1). 20–20. 4 indexed citations

Boer, Gijs de, Cory Dixon, Dale Lawrence, et al.. (2021). University of Colorado and Black Swift Technologies RPAS-based measurements of the lower atmosphere during LAPSE-RATE. Earth system science data. 13(6). 2515–2528. 5 indexed citations

10.

Boer, Gijs de, et al.. (2021). Measurements from mobile surface vehicles during the Lower Atmospheric Profiling Studies at Elevation – a Remotely-piloted Aircraft Team Experiment (LAPSE-RATE). Earth system science data. 13(1). 155–169. 12 indexed citations

11.

Boer, Gijs de, Radiance Calmer, Christopher J. Cox, et al.. (2021). Measurements from the University of Colorado RAAVEN Uncrewed Aircraft System during ATOMIC. NOAA Institutional Repository. 2 indexed citations

12.

Boer, Gijs de, et al.. (2020). Measurements from mobile surface vehicles during LAPSE-RATE. 2 indexed citations

13.

Argrow, Brian, et al.. (2019). Development and Deployment of Air-Launched Drifters from Small UAS. Sensors. 19(9). 2149–2149. 5 indexed citations

14.

Boer, Gijs de, S. E. Palo, Brian Argrow, et al.. (2016). The Pilatus unmanned aircraft system for lower atmospheric research. Atmospheric measurement techniques. 9(4). 1845–1857. 28 indexed citations

15.

Starkey, Ryan, et al.. (2012). Lobe Balancing Design Method to Create Frozen Sonic Booms Using Aircraft Components. Journal of Aircraft. 49(6). 1878–1893. 11 indexed citations

16.

Houston, Adam L., et al.. (2011). The Collaborative Colorado–Nebraska Unmanned Aircraft System Experiment. Bulletin of the American Meteorological Society. 93(1). 39–54. 52 indexed citations

17.

Frew, Eric W. & Brian Argrow. (2010). Embedded Reasoning for Atmospheric Science Using Unmanned Aircraft Systems. National Conference on Artificial Intelligence. 1 indexed citations

18.

Argrow, Brian. (2005). Cooperative Mobile Sensing Systems for In Situ Measurements in Hazardous Environments. AGUFM. 2005. 1 indexed citations

19.

Ho, Tin-Lun, et al.. (2001). Theory for producing a single-phase rarefaction shock wave in a shock tube. Journal of Fluid Mechanics. 445. 37–54. 42 indexed citations

20.

Argrow, Brian, et al.. (1997). Two-dimensional shock tube flow for dense gases. Journal of Fluid Mechanics. 349. 95–115. 22 indexed citations

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.

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