Lee E. Markle

426 citations
7 papers · 368 · h-index 6

Impact in

Papers in

Lee E. Markle

7 papers receiving 347 citations

Peers

Lee E. Markle
Comparison fields: 5 of 28
  • Fluid Flow and Transfer Processes 307
  • Computational Mechanics 297
  • Automotive Engineering 75
  • Aerospace Engineering 45
  • Biomedical Engineering 46
Replace Bizhan Befrui with:
Bizhan Befrui United States
Joseph Shakal United States
Andreas Kufferath Germany
Yu Jin China
Tatsuya Fujikawa Japan
Carsten Baumgarten Germany
Michihiko Tabata Japan
Brad VanDerWege United States
T. F. Su United States
Yuyin Zhang China
Lee E. Markle relative to Bizhan Befrui United States Bizhan Befrui's profile →
Citations per field
00.5×1.5×1.9×
Bizhan Befrui · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Lee E. Markle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lee E. Markle Line = papers co-authored together Lee E. Markle links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008143
2 201774
3 201564
4 199848
5 200327
6 20158
7 20044

About Lee E. Markle

Lee E. Markle is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Biomedical Engineering, Automotive Engineering and Control and Systems Engineering, having authored 7 papers that have together received 368 indexed citations. Recurring topics across this work include Combustion and flame dynamics (6 papers), Advanced Combustion Engine Technologies (6 papers), Biodiesel Production and Applications (3 papers), Vehicle emissions and performance (2 papers), Fluid Dynamics and Heat Transfer (2 papers), Real-time simulation and control systems (1 paper) and Electrohydrodynamics and Fluid Dynamics (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (307 citations), Computational Mechanics (297 citations), Automotive Engineering (75 citations), Aerospace Engineering (45 citations) and Biomedical Engineering (46 citations). Lee E. Markle has collaborated with scholars based in United States, South Korea and Poland. Frequent co-authors include Scott Parrish, David L. S. Hung, Min Xu, Joseph Shakal, David L. Harrington, Lyle M. Pickett, Julien Manin, Scott A. Skeen, Yongjin Jung and Gilles Bruneaux. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE international journal of fuels and lubricants and Experimental Thermal and Fluid Science.

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.

Explore authors with similar magnitude of impact