Lee E. Markle

426 total citations
7 papers, 368 citations indexed

About

Lee E. Markle is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, Lee E. Markle has authored 7 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Mechanics, 6 papers in Fluid Flow and Transfer Processes and 3 papers in Biomedical Engineering. Recurrent topics in Lee E. Markle's work include Advanced Combustion Engine Technologies (6 papers), Combustion and flame dynamics (6 papers) and Biodiesel Production and Applications (3 papers). Lee E. Markle is often cited by papers focused on Advanced Combustion Engine Technologies (6 papers), Combustion and flame dynamics (6 papers) and Biodiesel Production and Applications (3 papers). Lee E. Markle collaborates with scholars based in United States, South Korea and Poland. Lee E. Markle's co-authors include Scott Parrish, David L. S. Hung, Min Xu, David L. Harrington, Joseph Shakal, Julien Manin, Scott A. Skeen, Lyle M. Pickett, Yongjin Jung and Katarzyna Matusik and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Experimental Thermal and Fluid Science and SAE international journal of fuels and lubricants.

In The Last Decade

Lee E. Markle

7 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee E. Markle United States 6 307 297 75 52 46 7 368
Bizhan Befrui United States 11 269 0.9× 251 0.8× 94 1.3× 59 1.1× 38 0.8× 16 368
Joseph Shakal United States 9 285 0.9× 236 0.8× 105 1.4× 49 0.9× 77 1.7× 16 351
Andreas Kufferath Germany 9 210 0.7× 173 0.6× 104 1.4× 30 0.6× 46 1.0× 23 300
Yu Jin China 13 274 0.9× 236 0.8× 65 0.9× 50 1.0× 82 1.8× 39 381
Carsten Baumgarten Germany 5 280 0.9× 236 0.8× 101 1.3× 24 0.5× 131 2.8× 7 352
Tatsuya Fujikawa Japan 9 287 0.9× 289 1.0× 80 1.1× 21 0.4× 71 1.5× 17 365
Brad VanDerWege United States 12 325 1.1× 293 1.0× 106 1.4× 25 0.5× 89 1.9× 20 387
Michihiko Tabata Japan 9 405 1.3× 302 1.0× 143 1.9× 34 0.7× 159 3.5× 20 472
T. F. Su United States 5 305 1.0× 234 0.8× 105 1.4× 24 0.5× 123 2.7× 8 340
Yuyin Zhang China 14 501 1.6× 447 1.5× 160 2.1× 49 0.9× 138 3.0× 36 580

Countries citing papers authored by Lee E. Markle

Since Specialization
Citations

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

Fields of papers citing papers by Lee E. Markle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee E. Markle. 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 Lee E. Markle. The network helps show where Lee E. Markle may publish in the future.

Co-authorship network of co-authors of Lee E. Markle

This figure shows the co-authorship network connecting the top 25 collaborators of Lee E. Markle. A scholar is included among the top collaborators of Lee E. Markle 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 Lee E. Markle. Lee E. Markle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Duke, Daniel J., Alan Kastengren, Katarzyna Matusik, et al.. (2017). Internal and near nozzle measurements of Engine Combustion Network “Spray G” gasoline direct injectors. Experimental Thermal and Fluid Science. 88. 608–621. 74 indexed citations
2.
Befrui, Bizhan, et al.. (2015). Coupled LES Jet Primary Breakup - Lagrangian Spray Simulation of a GDi Multi-Hole Fuel Injector. SAE international journal of fuels and lubricants. 8(1). 179–189. 8 indexed citations
3.
Manin, Julien, Yongjin Jung, Scott A. Skeen, et al.. (2015). Experimental Characterization of DI Gasoline Injection Processes. SAE technical papers on CD-ROM/SAE technical paper series. 1. 64 indexed citations
4.
Hung, David L. S., et al.. (2008). Gasoline Fuel Injector Spray Measurement and Characterization - A New SAE J2715 Recommended Practice. SAE international journal of fuels and lubricants. 1(1). 534–548. 143 indexed citations
5.
Hung, David L. S., et al.. (2004). A Novel Transient Drop Sizing Technique for Investigating the Role of Gasoline Injector Sprays in Fuel Mixture Preparation. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
6.
Hung, David L. S., et al.. (2003). Application of an Imaging-based Diagnostic Technique to Quantify the Fuel Spray Variations in a Direct-Injection Spark-Ignition Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 27 indexed citations
7.
Xu, Min & Lee E. Markle. (1998). CFD-Aided Development of Spray for an Outwardly Opening Direct Injection Gasoline Injector. SAE technical papers on CD-ROM/SAE technical paper series. 1. 48 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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