Matthew J. McNenly

716 citations
33 papers · 575 indexed · h-index 16

Matthew J. McNenly

32 papers receiving 559 citations

Peers

Matthew J. McNenly
Comparison fields: 5 of 43
  • Fluid Flow and Transfer Processes 469
  • Computational Mechanics 436
  • Automotive Engineering 79
  • Aerospace Engineering 103
  • Catalysis 25
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Haichun Ding China
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Citations per field
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Citations per year

Countries citing papers authored by Matthew J. McNenly

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. McNenly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. McNenly. 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 Matthew J. McNenly. The network helps show where Matthew J. McNenly may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 202215
5 202212
6 20204
7 202015
8 202018
9 20191
10 201915
11 201923
12 201820
13
An updated comprehensive chemical kinetic model of C8-C20 n-alkanes
20176
14 201498
15 201448
16
Optimizing Time Integration of Chemical-Kinetic Networks for Speed and Accuracy
20132
17 201334
18 20107
19
Toward the improved simulation of microscale gas flow.
20072
20 200526

About Matthew J. McNenly

Matthew J. McNenly is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Process Chemistry and Technology, Catalysis and Automotive Engineering, having authored 33 papers that have together received 575 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (23 papers), Combustion and flame dynamics (20 papers), Heat transfer and supercritical fluids (6 papers), Vehicle emissions and performance (5 papers), Advanced Chemical Physics Studies (5 papers), Combustion and Detonation Processes (4 papers), Biodiesel Production and Applications (3 papers) and Catalytic Processes in Materials Science (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (469 citations), Computational Mechanics (436 citations), Automotive Engineering (79 citations), Aerospace Engineering (103 citations) and Catalysis (25 citations). Matthew J. McNenly has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Russell Whitesides, Daniel L. Flowers, Simon Lapointe, William J. Pitz, S. Scott Goldsborough, Scott W. Wagnon, Marco Mehl, M. A. Gallis, Kuiwen Zhang and Iain D. Boyd. Their work appears in journals such as Combustion and Flame, Proceedings of the Combustion Institute, Journal of Energy Resources Technology, SAE technical papers on CD-ROM/SAE technical paper series and Energy & Fuels.

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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