Gary D. Neely

978 citations
27 papers · 818 indexed · h-index 18

Impact in

Papers in

Gary D. Neely

27 papers receiving 768 citations

Peers

Gary D. Neely
Comparison fields: 5 of 33
  • Fluid Flow and Transfer Processes 655
  • Automotive Engineering 429
  • Computational Mechanics 257
  • Catalysis 59
  • Materials Chemistry 354
Replace Hisakazu Suzuki with:
Hisakazu Suzuki Japan
Terry Alger United States
Yuwei Zhao China
Seungmook Oh South Korea
Patrick G. Szymkowicz United States
Zhuoyao He China
Gen Shibata Japan
S. M. Abdelhalim United Kingdom
Fangxi Xie China
Timothy J. Jacobs United States
Gary D. Neely relative to Hisakazu Suzuki Japan Hisakazu Suzuki's profile →
Citations per field
00.5×5.8×
Hisakazu Suzuki · 1×
Citations per year

Countries citing papers authored by Gary D. Neely

Since Specialization
Citations

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

Fields of papers citing papers by Gary D. Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary D. Neely. 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 Gary D. Neely. The network helps show where Gary D. Neely may publish in the future.

Co-authorship network

The 20 scholars most cited alongside Gary D. Neely, 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 Gary D. Neely Line = papers co-authored together Gary D. Neely links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20232
4 202125
5 202124
6 202035
7 202035
8 201914
9 201723
10 201643
11 201410
12 201335
13 201224
14 20101
15 200711
16 200735
17 200613
18 2005157
19 200258
20 200015

About Gary D. Neely

Gary D. Neely is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Materials Chemistry and Biomedical Engineering, having authored 27 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (22 papers), Vehicle emissions and performance (14 papers), Catalytic Processes in Materials Science (12 papers), Combustion and flame dynamics (9 papers), Biodiesel Production and Applications (7 papers), Real-time simulation and control systems (3 papers), Rocket and propulsion systems research (2 papers) and Atmospheric chemistry and aerosols (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (655 citations), Automotive Engineering (429 citations), Computational Mechanics (257 citations), Catalysis (59 citations) and Materials Chemistry (354 citations). Gary D. Neely has collaborated with scholars based in United States, Denmark and Ireland. Frequent co-authors include Shizuo Sasaki, Christopher Sharp, Yiqun Huang, Darius Mehta, Hiroshi Sono, Andrew Matheaus, Seungju Yoon, Cary Henry, Junmin Wang and Thomas W. Ryan. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines and SAE International Journal of Advances and Current Practices in Mobility.

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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