Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A dynamic subgrid-scale eddy viscosity model
19915.3k citationsUgo Piomelli, Parviz Moin et al.profile →
A dynamic subgrid-scale model for compressible turbulence and scalar transport
19911.2k citationsParviz Moin, W. Cabot et al.profile →
A Lagrangian dynamic subgrid-scale model of turbulence
1996912 citationsCharles Meneveau, Thomas Lund et al.Journal of Fluid Mechanicsprofile →
Assessment of high-resolution methods for numerical simulations of compressible turbulence with shock waves
2009313 citationsW. Cabot, Parviz Moin et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
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).
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.
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).
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
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
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.