Russell Whitesides

840 total citations
42 papers, 672 citations indexed

About

Russell Whitesides is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering. According to data from OpenAlex, Russell Whitesides has authored 42 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 25 papers in Fluid Flow and Transfer Processes and 13 papers in Aerospace Engineering. Recurrent topics in Russell Whitesides's work include Advanced Combustion Engine Technologies (25 papers), Combustion and flame dynamics (23 papers) and Heat transfer and supercritical fluids (9 papers). Russell Whitesides is often cited by papers focused on Advanced Combustion Engine Technologies (25 papers), Combustion and flame dynamics (23 papers) and Heat transfer and supercritical fluids (9 papers). Russell Whitesides collaborates with scholars based in United States, China and Mexico. Russell Whitesides's co-authors include Michael Frenklach, Matthew J. McNenly, Daniel L. Flowers, William A. Lester, Simon Lapointe, Romelia Salomón–Ferrer, Guillaume Petitpas, Scott W. Wagnon, Dmitry Yu. Zubarev and Xiaoqing You and has published in prestigious journals such as The Journal of Physical Chemistry C, Fuel and The Journal of Physical Chemistry A.

In The Last Decade

Russell Whitesides

38 papers receiving 653 citations

Peers

Russell Whitesides
Fethi Khaled Saudi Arabia
Joshua W. Hargis United States
Ehson F. Nasir Saudi Arabia
Joseph Lopez United States
Russell Whitesides
Citations per year, relative to Russell Whitesides Russell Whitesides (= 1×) peers Sebastian Peukert

Countries citing papers authored by Russell Whitesides

Since Specialization
Citations

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

Fields of papers citing papers by Russell Whitesides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell Whitesides

This figure shows the co-authorship network connecting the top 25 collaborators of Russell Whitesides. A scholar is included among the top collaborators of Russell Whitesides 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 Russell Whitesides. Russell Whitesides 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.
Whitesides, Russell, et al.. (2025). Direct numerical simulations for hybrid rocket boundary layers: Performance modeling and scaling. The International Journal of High Performance Computing Applications. 40(2). 142–157.
2.
Saggese, Chiara, et al.. (2025). Soot formation and precursor chemistry in Counterflow flames of aviation fuel surrogates. Proceedings of the Combustion Institute. 41. 105816–105816.
3.
Kukkadapu, Goutham, Russell Whitesides, Scott W. Wagnon, et al.. (2023). Development of a diesel surrogate for improved autoignition prediction: Methodology and detailed chemical kinetic modeling. Applications in Energy and Combustion Science. 16. 100216–100216. 7 indexed citations
4.
Sim, Hyung Sub, Lyle M. Pickett, Julien Manin, et al.. (2022). The role of cool-flame fluctuations in high pressure spray flames, studied using high-speed optical diagnostics and large eddy simulations.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
5.
Sim, Hyung Sub, Lyle M. Pickett, Julien Manin, et al.. (2022). The role of cool-flame fluctuations in high-pressure spray flames, studied using high-speed optical diagnostics and Large-Eddy Simulations. Proceedings of the Combustion Institute. 39(4). 4871–4879. 7 indexed citations
6.
Cheng, Song, S. Scott Goldsborough, Scott W. Wagnon, et al.. (2022). Replicating HCCI-like autoignition behavior: What gasoline surrogate fidelity is needed?. Applications in Energy and Combustion Science. 12. 100091–100091. 15 indexed citations
7.
Chuahy, Flavio Dal Forno, C. Scott Sluder, Scott Curran, et al.. (2022). Numerical assessment of fuel physical properties on high-dilution diesel advanced compression ignition combustion. Applications in Energy and Combustion Science. 13. 100102–100102. 3 indexed citations
8.
Lapointe, Simon, Yuan Xuan, Hyunguk Kwon, Russell Whitesides, & Matthew J. McNenly. (2020). A computationally-efficient method for flamelet calculations. Combustion and Flame. 221. 94–102. 4 indexed citations
9.
Whitesides, Russell, et al.. (2020). Computationally efficient evaluation of optimum homogeneous charge compression ignition operating range with accelerated multizone engine cycle simulation. International Journal of Engine Research. 22(7). 2293–2304. 3 indexed citations
10.
Killingsworth, Nick, Matthew J. McNenly, Russell Whitesides, & Scott W. Wagnon. (2020). Cloud based tool for analysis of chemical kinetic mechanisms. Combustion and Flame. 221. 170–179. 15 indexed citations
11.
Pal, Pinaki, Matthew J. McNenly, Simon Lapointe, et al.. (2020). Numerical Investigation of a Central Fuel Property Hypothesis Under Boosted Spark-Ignition Conditions. Journal of Energy Resources Technology. 143(3). 18 indexed citations
12.
Fioroni, Gina M., Lisa Fouts, Jon Luecke, et al.. (2019). Screening of Potential Biomass-Derived Streams as Fuel Blendstocks for Mixing Controlled Compression Ignition Combustion. SAE International Journal of Advances and Current Practices in Mobility. 1(3). 1117–1138. 42 indexed citations
13.
Grover, Ronald O., Venkatesh Gopalakrishnan, Ramachandra Diwakar, et al.. (2018). Steady-State Calibration of a Diesel Engine in Computational Fluid Dynamics Using a Graphical Processing Unit-Based Chemistry Solver. Journal of Engineering for Gas Turbines and Power. 140(10). 5 indexed citations
14.
Cheng, A. S., et al.. (2015). Injected Droplet Size Effects on Diesel Spray Results with RANS and LES Turbulence Models. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
15.
McNenly, Matthew J., Russell Whitesides, & Daniel L. Flowers. (2014). Faster solvers for large kinetic mechanisms using adaptive preconditioners. Proceedings of the Combustion Institute. 35(1). 581–587. 98 indexed citations
16.
Whitesides, Russell, Matthew J. McNenly, & Daniel L. Flowers. (2013). Optimizing Time Integration of Chemical-Kinetic Networks for Speed and Accuracy. University of North Texas Digital Library (University of North Texas). 2 indexed citations
17.
Whitesides, Russell & Michael Frenklach. (2009). Detailed Kinetic Monte Carlo Simulations of Graphene-Edge Growth. The Journal of Physical Chemistry A. 114(2). 689–703. 121 indexed citations
18.
Lester, William A., et al.. (2008). Isomer Energy Differences for the C4H3and C4H5Isomers Using Diffusion Monte Carlo. The Journal of Physical Chemistry A. 112(10). 2065–2068. 3 indexed citations
19.
Whitesides, Russell, et al.. (1996). Design of a subscale propellant slag evaluation motor using two-phase fluid dynamic analysis. 32nd Joint Propulsion Conference and Exhibit. 6 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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