Charles Merkle

6.7k total citations · 1 hit paper
250 papers, 5.1k citations indexed

About

Charles Merkle is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics. According to data from OpenAlex, Charles Merkle has authored 250 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Computational Mechanics, 119 papers in Aerospace Engineering and 34 papers in Applied Mathematics. Recurrent topics in Charles Merkle's work include Computational Fluid Dynamics and Aerodynamics (104 papers), Combustion and flame dynamics (72 papers) and Fluid Dynamics and Turbulent Flows (59 papers). Charles Merkle is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (104 papers), Combustion and flame dynamics (72 papers) and Fluid Dynamics and Turbulent Flows (59 papers). Charles Merkle collaborates with scholars based in United States, Italy and Russia. Charles Merkle's co-authors include Yun-Jeong Choi, Steven Deutsch, Venkateswaran Sankaran, Philip Buelow, S. Venkateswaran, Nateri K. Madavan, Guoping Xia, William Anderson, Jian Feng and Dochul Choi and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and Journal of Biomechanics.

In The Last Decade

Charles Merkle

238 papers receiving 4.7k citations

Hit Papers

The Application of Preconditioning in Viscous Flows 1993 2026 2004 2015 1993 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Merkle United States 35 4.1k 2.0k 916 733 577 250 5.1k
Krishnan Mahesh United States 37 5.2k 1.3× 2.3k 1.1× 735 0.8× 312 0.4× 372 0.6× 140 6.1k
Sharath S. Girimaji United States 39 5.0k 1.2× 1.3k 0.6× 300 0.3× 615 0.8× 378 0.7× 189 5.5k
Joseph A. Schetz United States 39 4.8k 1.2× 3.9k 2.0× 267 0.3× 193 0.3× 697 1.2× 415 6.0k
Suresh Menon United States 43 6.3k 1.5× 2.7k 1.4× 458 0.5× 2.5k 3.4× 271 0.5× 351 7.2k
Н.Н. Смирнов Russia 30 1.9k 0.5× 2.4k 1.2× 940 1.0× 275 0.4× 279 0.5× 187 4.0k
J. Buckmaster United States 39 3.4k 0.8× 2.1k 1.1× 1.1k 1.2× 1.6k 2.2× 465 0.8× 145 5.0k
В. Ф. Никитин Russia 28 2.2k 0.5× 2.5k 1.2× 872 1.0× 333 0.5× 350 0.6× 111 3.7k
F. E. C. Culick United States 38 2.7k 0.7× 2.4k 1.2× 1.1k 1.3× 970 1.3× 113 0.2× 151 4.5k
Amable Liñán Martínez Spain 34 3.7k 0.9× 1.6k 0.8× 254 0.3× 2.2k 3.0× 217 0.4× 158 4.4k
A. K. Oppenheim United States 32 2.1k 0.5× 2.5k 1.2× 827 0.9× 1.4k 1.9× 271 0.5× 194 3.8k

Countries citing papers authored by Charles Merkle

Since Specialization
Citations

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

Fields of papers citing papers by Charles Merkle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Merkle

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Merkle. A scholar is included among the top collaborators of Charles Merkle 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 Charles Merkle. Charles Merkle 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.
Huang, Cheng, Ashvin Hosangadi, & Charles Merkle. (2024). Investigations of Multi-Zonal Modeling Strategy for Rocket Combustion Dynamics. 1 indexed citations
2.
Huang, Cheng, Karthik Duraisamy, & Charles Merkle. (2019). Investigations and Improvement of Robustness of Reduced-Order Models of Reacting Flow. AIAA Scitech 2019 Forum. 9 indexed citations
3.
Merkle, Charles, et al.. (2018). Comparison of artificial-dissipation and solution-filtering stabilization schemes for time-accurate simulations. Journal of Computational Physics. 375. 1424–1450. 19 indexed citations
4.
Nasuti, Francesco, et al.. (2015). Determination of Heat Release Response Function from 2D Hybrid RANS-LES Data for the CVRC Combustor. 51st AIAA/SAE/ASEE Joint Propulsion Conference. 5 indexed citations
5.
Sankaran, Venkateswaran & Charles Merkle. (2014). Fundamental Physics and Model Assumptions in Turbulent Combustion Models for Aerospace Propulsion. 50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. 8 indexed citations
6.
Harvazinski, Matthew E., et al.. (2013). Combustion Instability Mechanisms in a Pressure-coupled Gas-gas Coaxial Rocket Injector. 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. 31 indexed citations
7.
Merkle, Charles, et al.. (2012). Effects of Chamber Diameter on the Flowfield in Unielement Rocket Combustors. Journal of Propulsion and Power. 28(3). 568–584. 2 indexed citations
8.
Merkle, Charles, et al.. (2010). Contrast Between Steady and Time-Averaged Unsteady Combustion Simulations. 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. 6 indexed citations
9.
Park, Su‐il, et al.. (2009). EVALUATION OF A NEW CAVITATION MODEL. 대한기계학회 춘추학술대회. 57–62. 1 indexed citations
10.
Merkle, Charles, Trevor Moeller, Ryan E. Rhodes, & Dennis Keefer. (2009). Computational Simulations of Power Extraction in MHD Channel. 1 indexed citations
11.
Li, Ding & Charles Merkle. (2006). A unified framework for incompressible and compressible fluid flows. Journal of Hydrodynamics. 18(S1). 111–117. 4 indexed citations
12.
Merkle, Charles, Venkateswaran Sankaran, Daniel J. Dorney, & Douglas L. Sondak. (2003). A Generalized Fluid Formulation for Turbomachinery Computations. NASA STI Repository (National Aeronautics and Space Administration). 3 indexed citations
13.
Ebrahimi, Houshang & Charles Merkle. (1999). A numerical simulation of the Pulse Detonation Engine with hydrogen fuels. 35th Joint Propulsion Conference and Exhibit. 14 indexed citations
14.
Schwer, Douglas, S. Venkateswaran, & Charles Merkle. (1993). Analysis of microwave-heated rocket engines for space propulsion. 33(11). 1536–45. 4 indexed citations
15.
Merkle, Charles & Steven Deutsch. (1992). Microbubble Drag Reduction in Liquid Turbulent Boundary Layers. Applied Mechanics Reviews. 45(3). 103–127. 82 indexed citations
16.
Chang, Chau‐Lyan & Charles Merkle. (1989). Viscous swirling nozzle flow. 27th Aerospace Sciences Meeting. 3 indexed citations
17.
Madavan, Nateri K., Charles Merkle, & Steven Deutsch. (1985). Numerical Investigations Into the Mechanisms of Microbubble Drag Reduction. Journal of Fluids Engineering. 107(3). 370–377. 65 indexed citations
18.
Merkle, Charles. (1984). Prediction of the flowfield in laser propulsion devices. AIAA Journal. 22(8). 1101–1107. 17 indexed citations
19.
Ko, D. R. S., et al.. (1976). An analytical study of the effect of surface roughness on the stability of a heated water boundary layer. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Merkle, Charles. (1976). Stability and Transition in Boundary Layers on Reentry Vehicle Nosetips.. Defense Technical Information Center (DTIC). 3 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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