Brian Gainey

62 papers receiving 736 citations

Peers

Brian Gainey
Comparison fields: 5 of 37
  • Fluid Flow and Transfer Processes 623
  • Computational Mechanics 384
  • Automotive Engineering 186
  • Biomedical Engineering 274
  • Aerospace Engineering 117
Replace Sotirios Mamalis with:
Sotirios Mamalis United States
Iván D. Bedoya Colombia
Ling-zhi Bao China
Pourya Rahnama Iran
Zezhou Guo China
Delin Lv China
Fangxi Xie China
Xiaoye Han Canada
Seungmook Oh South Korea
Brian Gainey relative to Sotirios Mamalis United States Sotirios Mamalis's profile →
Citations per field
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Sotirios Mamalis · 1×
Citations per year

Countries citing papers authored by Brian Gainey

Since Specialization
Citations

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

Fields of papers citing papers by Brian Gainey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 202062
3 202150
4 201948
5 201836
6 202136
7 202235
8 201830
9 201929
10 201929
11 201928
12 201928
13 202018
14 202115
15 202014
16 202212
17 202212
18 202011
19 202111
20 202010

About Brian Gainey

Brian Gainey is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Biomedical Engineering and Materials Chemistry, having authored 73 papers that have together received 754 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (69 papers), Combustion and flame dynamics (47 papers), Catalytic Processes in Materials Science (17 papers), Biodiesel Production and Applications (17 papers), Combustion and Detonation Processes (15 papers), Heat transfer and supercritical fluids (10 papers), Vehicle emissions and performance (7 papers) and Advanced Thermodynamic Systems and Engines (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (623 citations), Computational Mechanics (384 citations), Automotive Engineering (186 citations), Biomedical Engineering (274 citations) and Aerospace Engineering (117 citations). Brian Gainey has collaborated with scholars based in United States, Sweden and Austria. Frequent co-authors include Benjamin Lawler, Ziming Yan, Deivanayagam Hariharan, Jon P. Longtin, Sotirios Mamalis, Zoran Filipi, Sanjay Sampath, Khurram Malik, Carl L.A. Schmidt and Robert Prucka. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Engine Research, Fuel, Journal of Engineering for Gas Turbines and Power and Applied Energy.

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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