This map shows the geographic impact of C. Stuart Daw'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 C. Stuart Daw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Stuart Daw more than expected).
This network shows the impact of papers produced by C. Stuart Daw. 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 C. Stuart Daw. The network helps show where C. Stuart Daw may publish in the future.
Co-authorship network of co-authors of C. Stuart Daw
This figure shows the co-authorship network connecting the top 25 collaborators of C. Stuart Daw.
A scholar is included among the top collaborators of C. Stuart Daw 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 C. Stuart Daw. C. Stuart Daw 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.
Daw, C. Stuart. (2023). Method of controlling cyclic variation in engine combustion. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
Gao, Zhiming, Tim J. LaClair, C. Stuart Daw, & David Smith. (2013). Fuel Consumption and Cost Savings of Class 8 Heavy-Duty Trucks Powered by Natural Gas. Transportation Research Board 92nd Annual MeetingTransportation Research Board.8 indexed citations
4.
Daw, C. Stuart, Todd J. Toops, André L. Boehman, Randy L. Vander Wal, & Andrea Strzelec. (2011). Characterization of the oxidation kinetics and morphology of diesel particulates.1 indexed citations
Gao, Zhiming, V. Kalyana Chakravarthy, C. Stuart Daw, & J.C. Conklin. (2010). Lean NOx Trap Modeling for Vehicle Systems Simulations. SAE international journal of fuels and lubricants. 3(1). 468–485.15 indexed citations
8.
Daw, C. Stuart, et al.. (2008). Emergent Behavior in a Low-Order Fluidized-Bed Bubble Model.
Daw, C. Stuart, Charles Finney, & M. B. Kennel. (2000). Symbolic approach for measuring temporal “irreversibility”. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(2). 1912–1921.105 indexed citations
13.
Green, Johney B., et al.. (1999). Time Irreversibility of Cycle-by-Cycle Engine Combustion Variations.11 indexed citations
Daw, C. Stuart, et al.. (1995). Chaos in thermal pulse combustion. Chaos An Interdisciplinary Journal of Nonlinear Science. 5(4). 662–670.39 indexed citations
17.
Flynn, Thomas J., et al.. (1993). Interpretation of pilot-scale, fluidized bed behavior using chaotic time series analysis. University of North Texas Digital Library (University of North Texas).9 indexed citations
18.
Daw, C. Stuart, et al.. (1983). Combustion kinetics of Western Kentucky No. 9 coal. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).3 indexed citations
19.
Daw, C. Stuart, et al.. (1983). Carbon utilization in fluidized-bed combustion systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).2 indexed citations
20.
Daw, C. Stuart, et al.. (1982). Economic evaluation of the design parameters in utility atmospheric fluidized bed combustors. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 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.