F. K. Chow

1.3k total citations
34 papers, 913 citations indexed

About

F. K. Chow is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, F. K. Chow has authored 34 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 11 papers in Environmental Engineering and 9 papers in Global and Planetary Change. Recurrent topics in F. K. Chow's work include Wind and Air Flow Studies (10 papers), Meteorological Phenomena and Simulations (10 papers) and Complex Systems and Time Series Analysis (8 papers). F. K. Chow is often cited by papers focused on Wind and Air Flow Studies (10 papers), Meteorological Phenomena and Simulations (10 papers) and Complex Systems and Time Series Analysis (8 papers). F. K. Chow collaborates with scholars based in United States, Hong Kong and Switzerland. F. K. Chow's co-authors include Stephan F. J. De Wekker, Bradley J. Snyder, R. M. Maxwell, Bowen Zhou, H. F. Chau, Katherine A. Lundquist, Mathias W. Rotach, Andreas Weigel, Nikolina Ban and Linda Schlemmer and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Journal of the Atmospheric Sciences.

In The Last Decade

F. K. Chow

32 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. K. Chow United States 16 605 526 354 88 72 34 913
Ioulia Tchiguirinskaia France 18 500 0.8× 801 1.5× 434 1.2× 394 4.5× 14 0.2× 70 1.2k
Lorenzo Tomassini Germany 21 1.2k 2.0× 1.3k 2.5× 115 0.3× 64 0.7× 23 0.3× 35 1.7k
F. Siccardi Italy 18 762 1.3× 871 1.7× 138 0.4× 263 3.0× 16 0.2× 44 1.1k
Neil I. Fox United States 18 635 1.0× 587 1.1× 197 0.6× 103 1.2× 16 0.2× 61 942
P. Malguzzi Italy 24 1.4k 2.3× 1.2k 2.4× 152 0.4× 153 1.7× 39 0.5× 67 1.7k
Kenneth R. Mylne United Kingdom 13 892 1.5× 891 1.7× 196 0.6× 75 0.9× 35 0.5× 19 1.2k
Xiangjun Tian China 18 714 1.2× 682 1.3× 287 0.8× 97 1.1× 18 0.3× 63 986
Catherine Rio France 24 1.4k 2.4× 1.4k 2.7× 186 0.5× 30 0.3× 67 0.9× 35 1.7k
Elena Ridolfi Italy 20 194 0.3× 508 1.0× 170 0.5× 298 3.4× 13 0.2× 51 849
Rui A. P. Perdigão Austria 11 297 0.5× 519 1.0× 129 0.4× 294 3.3× 22 0.3× 24 730

Countries citing papers authored by F. K. Chow

Since Specialization
Citations

This map shows the geographic impact of F. K. Chow'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 F. K. Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. K. Chow more than expected).

Fields of papers citing papers by F. K. Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. K. Chow. 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 F. K. Chow. The network helps show where F. K. Chow may publish in the future.

Co-authorship network of co-authors of F. K. Chow

This figure shows the co-authorship network connecting the top 25 collaborators of F. K. Chow. A scholar is included among the top collaborators of F. K. Chow 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 F. K. Chow. F. K. Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wise, Adam, et al.. (2022). Meso- to microscale modeling of atmospheric stability effects on wind turbine wake behavior in complex terrain. Wind energy science. 7(1). 367–386. 17 indexed citations
2.
Wise, Adam, et al.. (2022). Effects of atmospheric stability on the structural response of a 12 MW semisubmersible floating wind turbine. Wind Energy. 25(11). 1917–1937. 9 indexed citations
3.
Chow, F. K., Christoph Schär, Nikolina Ban, et al.. (2019). Crossing Multiple Gray Zones in the Transition from Mesoscale to Microscale Simulation over Complex Terrain. Atmosphere. 10(5). 274–274. 94 indexed citations
4.
Vermillion, Christopher, et al.. (2019). On Wind Speed Sensor Configurations and Altitude Control in Airborne Wind Energy Systems. 2197–2202. 4 indexed citations
5.
Arthur, Robert S., Katherine A. Lundquist, Jeffrey D. Mirocha, & F. K. Chow. (2018). Topographic Effects on Radiation in the WRF Model with the Immersed Boundary Method: Implementation, Validation, and Application to Complex Terrain. Monthly Weather Review. 146(10). 3277–3292. 39 indexed citations
6.
Chow, F. K., et al.. (2015). Isolating effects of terrain and soil moisture heterogeneity on the atmospheric boundary layer: Idealized simulations to diagnose land‐atmosphere feedbacks. Journal of Advances in Modeling Earth Systems. 7(2). 915–937. 40 indexed citations
7.
Chow, F. K., et al.. (2014). Improving large-eddy simulation on adaptive mesh refinement grids using the turbulence closure. Bulletin of the American Physical Society. 1 indexed citations
8.
Chau, H. F., et al.. (2014). Social judgment theory based model on opinion formation, polarization and evolution. Physica A Statistical Mechanics and its Applications. 415. 133–140. 24 indexed citations
9.
Zhou, Bowen, et al.. (2014). The Convective Boundary Layer in the Terra Incognita. Journal of the Atmospheric Sciences. 71(7). 2545–2563. 111 indexed citations
10.
Mirocha, Jeffrey D., et al.. (2013). Generalized Wind Turbine Actuator Disk Parameterization in the Weather Research and Forecasting (WRF) Model for Real-World Simulations. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
11.
Dvorak, Michael J., et al.. (2012). Detection of nocturnal coherent turbulence in the US Great Plains and effects on wind turbine fatigue. AGUFM. 2012. 1 indexed citations
12.
Chow, F. K., et al.. (2010). Adaptive mesh refinement for large-eddy simulation using the dynamic reconstruction model. Bulletin of the American Physical Society. 63. 1 indexed citations
13.
Lundquist, Julie K., Jeffrey D. Mirocha, F. K. Chow, Branko Kosović, & Katherine A. Lundquist. (2008). Simulating atmosphere flow for wind energy applications with WRF-LES. University of North Texas Digital Library (University of North Texas). 4 indexed citations
14.
Schmidli, Juerg, et al.. (2008). External Influences on Nocturnal Thermally Driven Flows in a Deep Valley. Journal of Applied Meteorology and Climatology. 48(1). 3–23. 25 indexed citations
15.
Weigel, Andreas, F. K. Chow, Mathias W. Rotach, Robert L. Street, & Ming Xue. (2006). High-Resolution Large-Eddy Simulations of Flow in a Steep Alpine Valley. Part II: Flow Structure and Heat Budgets. Journal of Applied Meteorology and Climatology. 45(1). 87–107. 66 indexed citations
16.
Weigel, Andreas, F. K. Chow, & Mathias W. Rotach. (2006). The effect of mountainous topography on moisture exchange between the “surface” and the free atmosphere. Boundary-Layer Meteorology. 125(2). 227–244. 47 indexed citations
17.
Chow, F. K., et al.. (2005). Memory is relevant in the symmetric phase of the minority game. Physical Review E. 71(6). 66120–66120. 9 indexed citations
18.
Chow, F. K., et al.. (2004). Wealth inequality in the minority game. Physical Review E. 70(6). 66110–66110. 15 indexed citations
19.
Chow, F. K. & H. F. Chau. (2004). Multichoice minority game: dynamics and global cooperation. Physica A Statistical Mechanics and its Applications. 337(1-2). 288–306. 4 indexed citations
20.
Chau, H. F., et al.. (2003). Minority game with peer pressure. Physica A Statistical Mechanics and its Applications. 332. 483–495. 16 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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