K. Dean Edwards

46 papers receiving 906 citations

Peers

K. Dean Edwards
Comparison fields: 5 of 56
  • Fluid Flow and Transfer Processes 679
  • Automotive Engineering 402
  • Computational Mechanics 489
  • Statistical and Nonlinear Physics 105
  • Aerospace Engineering 129
Replace Brian Kaul with:
Brian Kaul United States
Matteo De Cesare Italy
Pinaki Pal United States
Mark Hoffman United States
D. A. Kouremenos Greece
Enzhe Song China
Amir H. Shamekhi Iran
Jaime Martín Spain
Enrico Corti Italy
Gaetano Continillo Italy
K. Dean Edwards relative to Brian Kaul United States Brian Kaul's profile →
Citations per field
00.5×2.9×
Brian Kaul · 1×
Citations per year

Countries citing papers authored by K. Dean Edwards

Since Specialization
Citations

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

Fields of papers citing papers by K. Dean Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. Dean Edwards. 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 K. Dean Edwards. The network helps show where K. Dean Edwards may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20214
2 20219
3 20186
4 20185
5 201541
6 20151
7 201322
8 201322
9 201218
10 201229
11 20107
12 201028
13 200851
14 20087
15
Hybrid SI-HCCI combustion modes and the potential for control
20071
16 200661
17
Modeling cyclic variability during the transition between spark-ignited combustion and HCCI
20063
18 20053
19 20042
20 199738

About K. Dean Edwards

K. Dean Edwards is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Statistical and Nonlinear Physics and Mechanical Engineering, having authored 46 papers that have together received 949 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (38 papers), Combustion and flame dynamics (24 papers), Vehicle emissions and performance (14 papers), Catalytic Processes in Materials Science (7 papers), Advanced Thermodynamic Systems and Engines (6 papers), Heat transfer and supercritical fluids (6 papers), Combustion and Detonation Processes (5 papers) and Refrigeration and Air Conditioning Technologies (5 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (679 citations), Automotive Engineering (402 citations), Computational Mechanics (489 citations), Statistical and Nonlinear Physics (105 citations) and Aerospace Engineering (129 citations). K. Dean Edwards has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Robert Wagner, C. Stuart Daw, Johney B. Green, Charles Finney, John M. E. Storey, Brian Kaul, David Smith, Zhiming Gao, Thomas Briggs and John Thomas. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Engineering for Gas Turbines and Power, International Journal of Engine Research, Applied Energy and SAE International Journal of Engines.

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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