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.
The Particle-Source-In Cell (PSI-CELL) Model for Gas-Droplet Flows
1977912 citationsC. T. Crowe, M. P. Sharma et al.Journal of Fluids Engineeringprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by David E. Stock
Since
Specialization
Citations
This map shows the geographic impact of David E. Stock'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 David E. Stock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Stock more than expected).
This network shows the impact of papers produced by David E. Stock. 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 David E. Stock. The network helps show where David E. Stock may publish in the future.
Co-authorship network of co-authors of David E. Stock
This figure shows the co-authorship network connecting the top 25 collaborators of David E. Stock.
A scholar is included among the top collaborators of David E. Stock 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 David E. Stock. David E. Stock is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Lian‐Ping, Martin Maxey, Thomas D. Burton, & David E. Stock. (1992). Chaotic dynamics of particle dispersion in fluids. Physics of Fluids A Fluid Dynamics. 4(8). 1789–1804.49 indexed citations
Stock, David E., S. A. Sherif, & Alexander J. Smits. (1990). The Heuristics of thermal anemometry. American Society of Mechanical Engineers eBooks.3 indexed citations
Michaelides, Efstathios E., et al.. (1989). Turbulence modification in dispersed multiphase flows : presented at the Third Joint ASCE/ASME Mechanics Conference, University of California, San Diego, La Jolla, California, July 9-12, 1989. American Society of Mechanical Engineers eBooks.3 indexed citations
11.
Stock, David E., et al.. (1989). Third International Symposium of Gas-Solid Flows -- 1989 : presented at the Third Joint ASCE/ASME Mechanics Conference, University of California, San Diego, La Jolla, California, July 9-12, 1989. American Society of Mechanical Engineers eBooks.1 indexed citations
12.
Stock, David E., et al.. (1988). On the relationship between Lagrangian and Eulerian scales for Kraichnan's Gaussian random velocity field. 92–95.1 indexed citations
13.
Lamb, Brian, et al.. (1988). Plume concentration and velocity fluctuations during convective and stable conditions. 341–344.6 indexed citations
14.
Stock, David E., et al.. (1987). Turbulence measurements using split-film anemometry. 197–206.5 indexed citations
Stock, David E., et al.. (1979). Application of split-film anemometry to low-speed flows with high turbulence intensity and recirculation as found in electrostatic precipitators. 117–122.3 indexed citations
19.
Crowe, C. T., M. P. Sharma, & David E. Stock. (1977). The Particle-Source-In Cell (PSI-CELL) Model for Gas-Droplet Flows. Journal of Fluids Engineering. 99(2). 325–332.912 indexed citations breakdown →
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.