Kevin M. Lyons

1.6k citations
35 papers · 1.3k · h-index 15

Impact in

Papers in

Kevin M. Lyons

32 papers receiving 1.2k citations

Peers

Kevin M. Lyons
Comparison fields: 5 of 60
  • Fluid Flow and Transfer Processes 318
  • Astronomy and Astrophysics 363
  • Computational Mechanics 451
  • Safety, Risk, Reliability and Quality 172
  • Geophysics 110
Replace Kazuo Akita with:
Kazuo Akita Japan
Tim Bazyn United States
Scott Waitukaitis United States
Jeremy B. Lechman United States
Nicolas Taberlet France
Hans J. Rath Germany
Chae Hoon Sohn South Korea
А. Д. Киверин Russia
C. Goldenberg Israel
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Citations per field
00.5×10×15×18.3×
Kazuo Akita · 1×
Citations per year

Countries citing papers authored by Kevin M. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Lyons. 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 Kevin M. Lyons. The network helps show where Kevin M. Lyons may publish in the future.

Co-authors

The 25 scholars most cited alongside Kevin M. Lyons, 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 Kevin M. Lyons Line = papers co-authored together Kevin M. Lyons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006232
2 1996219
3 2015216
4 1996130
5 201589
6 199946
7 201445
8 201144
9 201036
10 199430
11 199625
12 201325
13 201422
14 201115
15 200914
16 200413
17 200311
18 199110
19 200210
20 20198

About Kevin M. Lyons

Kevin M. Lyons is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Safety, Risk, Reliability and Quality, Aerospace Engineering and Materials Chemistry, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Combustion and flame dynamics (22 papers), Advanced Combustion Engine Technologies (12 papers), Fire dynamics and safety research (10 papers), Combustion and Detonation Processes (6 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Fiber-reinforced polymer composites (4 papers), Graphene research and applications (3 papers) and Aerosol Filtration and Electrostatic Precipitation (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (318 citations), Astronomy and Astrophysics (363 citations), Computational Mechanics (451 citations), Safety, Risk, Reliability and Quality (172 citations) and Geophysics (110 citations). Kevin M. Lyons has collaborated with scholars based in United States, France and Australia. Frequent co-authors include P. T. Newell, Ching‐I. Meng, Satish Kumar, Han Gi Chae, Bradley A. Newcomb, Manjeshwar G. Kamath, Kishor Gupta, Yaodong Liu, Lucille A. Giannuzzi and Prabhakar Gulgunje. Their work appears in journals such as Carbon, Flow Turbulence and Combustion, Journal of Energy Resources Technology, Journal of Electrostatics and Optics Letters.

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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