W. Cabot

14.5k total citations · 4 hit papers
64 papers, 10.4k citations indexed

About

W. Cabot is a scholar working on Computational Mechanics, Environmental Engineering and Astronomy and Astrophysics. According to data from OpenAlex, W. Cabot has authored 64 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computational Mechanics, 12 papers in Environmental Engineering and 11 papers in Astronomy and Astrophysics. Recurrent topics in W. Cabot's work include Fluid Dynamics and Turbulent Flows (39 papers), Computational Fluid Dynamics and Aerodynamics (13 papers) and Wind and Air Flow Studies (12 papers). W. Cabot is often cited by papers focused on Fluid Dynamics and Turbulent Flows (39 papers), Computational Fluid Dynamics and Aerodynamics (13 papers) and Wind and Air Flow Studies (12 papers). W. Cabot collaborates with scholars based in United States, Germany and Australia. W. Cabot's co-authors include Parviz Moin, Ugo Piomelli, Massimo Germano, Andrew W. Cook, Charles Meneveau, Thomas Lund, Kyle D. Squires, Sangsan Lee, Paul L. Miller and Ye Zhou and has published in prestigious journals such as The Astrophysical Journal, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

W. Cabot

61 papers receiving 9.9k citations

Hit Papers

A dynamic subgrid-scale eddy viscosity model 1991 2026 2002 2014 1991 1991 1996 2009 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Cabot United States 26 8.9k 3.3k 2.8k 1.2k 1.1k 64 10.4k
Sanjiva K. Lele United States 61 15.4k 1.7× 3.1k 0.9× 9.4k 3.4× 1.2k 1.0× 907 0.8× 347 18.1k
Victor Yakhot United States 37 7.0k 0.8× 2.9k 0.9× 2.7k 1.0× 1.1k 0.9× 947 0.9× 147 11.6k
Paul E. Dimotakis United States 39 5.6k 0.6× 1.1k 0.3× 2.8k 1.0× 630 0.5× 793 0.7× 145 6.7k
Massimo Germano Italy 14 6.0k 0.7× 2.6k 0.8× 1.9k 0.7× 902 0.7× 745 0.7× 38 7.1k
Bram van Leer United States 31 12.5k 1.4× 742 0.2× 3.0k 1.1× 1.6k 1.3× 635 0.6× 83 16.1k
S. Balachandar United States 59 10.2k 1.1× 2.1k 0.6× 2.9k 1.1× 827 0.7× 5.4k 4.9× 373 14.7k
Pierre Sagaut France 60 11.9k 1.3× 3.3k 1.0× 5.6k 2.0× 1.0k 0.9× 798 0.7× 327 13.8k
John L. Lumley United States 34 13.3k 1.5× 5.4k 1.6× 3.6k 1.3× 2.7k 2.3× 2.0k 1.9× 87 20.1k
Charles G. Speziale United States 36 6.8k 0.8× 3.4k 1.0× 2.4k 0.9× 558 0.5× 724 0.7× 134 8.9k
Ugo Piomelli United States 46 11.7k 1.3× 5.0k 1.5× 4.2k 1.5× 1.4k 1.2× 1.4k 1.3× 163 13.3k

Countries citing papers authored by W. Cabot

Since Specialization
Citations

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

Fields of papers citing papers by W. Cabot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Cabot. 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 W. Cabot. The network helps show where W. Cabot may publish in the future.

Co-authorship network of co-authors of W. Cabot

This figure shows the co-authorship network connecting the top 25 collaborators of W. Cabot. A scholar is included among the top collaborators of W. Cabot 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 W. Cabot. W. Cabot 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.
Zhou, Ye, W. Cabot, & Ben Thornber. (2016). Asymptotic behavior of the mixed mass in Rayleigh–Taylor and Richtmyer–Meshkov instability induced flows. Physics of Plasmas. 23(5). 66 indexed citations
2.
Haxhimali, Tomorr, Robert E. Rudd, W. Cabot, & Frank Graziani. (2015). Shear viscosity for dense plasmas by equilibrium molecular dynamics in asymmetric Yukawa ionic mixtures. Physical Review E. 92(5). 53110–53110. 14 indexed citations
3.
Haxhimali, Tomorr, Robert E. Rudd, W. Cabot, & Frank Graziani. (2014). Diffusivity in asymmetric Yukawa ionic mixtures in dense plasmas. Physical Review E. 90(2). 23104–23104. 28 indexed citations
4.
Greenough, Jeffrey, et al.. (2012). On the late-time growth of the two-dimensional Richtmyer–Meshkov instability in shock tube experiments. Journal of Fluid Mechanics. 712. 354–383. 33 indexed citations
5.
Rudd, Robert E., W. Cabot, Kyle Caspersen, et al.. (2012). Self-diffusivity and interdiffusivity of molten aluminum-copper alloys under pressure, derived from molecular dynamics. Physical Review E. 85(3). 31202–31202. 12 indexed citations
6.
Miller, Paul L., et al.. (2007). Bubble Counts for Rayleigh-Taylor Instability Using Image Analysis. University of North Texas Digital Library (University of North Texas).
7.
Cabot, W.. (2006). Comparison of two- and three-dimensional simulations of miscible Rayleigh-Taylor instability. Physics of Fluids. 18(4). 65 indexed citations
8.
Miller, Paul L., W. Cabot, & Andrew W. Cook. (2005). Which way is up? A fluid dynamics riddle. Physics of Fluids. 17(9). 1 indexed citations
9.
Cook, Andrew W., W. Cabot, & Paul L. Miller. (2003). Large-Eddy Simulations of Rayleigh-Taylor Instability. APS. 56. 1 indexed citations
10.
Cabot, W.. (2003). Phytoestrogens. Journal of the American Academy of Orthopaedic Surgeons. 11(3). 153–156. 3 indexed citations
11.
Zhou, Ye, et al.. (2003). Computing turbulent flows driven byRayleigh-Taylor and Richtmyer-Meshkov instabilities. Astronomy and Astrophysics. 405(2). 379–386. 6 indexed citations
12.
Oberlack, Martin, W. Cabot, & Michael M. Rogers. (1999). Symmetry analysis, DNS and modeling of a turbulent channel flow with streamwise rotation. APS. 1 indexed citations
13.
Cabot, W., et al.. (1999). Nature's Pain Killers: Proven New Alternative and Nutritional Therapies for Chronic Pain Relief. 1 indexed citations
14.
Meneveau, Charles, Thomas Lund, & W. Cabot. (1996). A Lagrangian dynamic subgrid-scale model of turbulence. Journal of Fluid Mechanics. 319. 353–385. 912 indexed citations breakdown →
15.
Carati, Daniele, A. A. Wray, & W. Cabot. (1996). Ensemble averaged dynamic modeling. NASA Technical Reports Server (NASA). 237–248. 9 indexed citations
16.
Cabot, W., et al.. (1995). Numerical Simulations of Stratified Compressible Convection with Internal Heating and Disklike Variable Gravity. The Astrophysical Journal Supplement Series. 98. 315–315. 3 indexed citations
17.
Cabot, W.. (1993). Dynamic localization and second-order subgrid-scale models in large eddy simulations of channel flow. NASA Technical Reports Server (NASA). 129–144. 6 indexed citations
18.
Piomelli, Ugo, W. Cabot, Parviz Moin, & Sangsan Lee. (1990). Subgrid-scale backscatter in transitional and turbulent flows. NASA Technical Reports Server (NASA). 19. 11 indexed citations
19.
Cabot, W., V. M. Canuto, O. Hubickyj, & J. B. Pollack. (1987). The role of turbulent convection in the primitive solar nebula. I - Theory. II - Results. Icarus. 69. 4 indexed citations
20.
Winget, D. E. & W. Cabot. (1980). Convective Mixing in Extended Horizontal Branch Envelope Models - the Sdb/sdo Transition. The Astrophysical Journal. 242. 1166–1166.

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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