Eric W. Curtis

54 papers receiving 792 citations

Peers

Eric W. Curtis
Comparison fields: 5 of 73
  • Fluid Flow and Transfer Processes 459
  • Computational Mechanics 470
  • Automotive Engineering 185
  • Aquatic Science 46
  • Aerospace Engineering 141
Replace T. N. C. Anand with:
T. N. C. Anand India
Muhammad Asif Javed Pakistan
Qing Tang China
Jacqueline O’Connor United States
A.A. Abdel-Rahman Egypt
T. K. Bhattacharya India
V. K. Rao Canada
M. N. Islam Bangladesh
Jiale Chai China
Jeongseog Oh South Korea
Eric W. Curtis relative to T. N. C. Anand India T. N. C. Anand's profile →
Citations per field
00.5×4.1×
T. N. C. Anand · 1×
Citations per year

Countries citing papers authored by Eric W. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Eric W. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric W. Curtis. 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 Eric W. Curtis. The network helps show where Eric W. Curtis may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199272
2 200564
3 201063
4 199651
5 200944
6 200940
7 199537
8 200732
9 199828
10 202027
11 199826
12 198825
13 201323
14 200623
15 200521
16 200021
17 200918
18 199818
19 200317
20 199817

About Eric W. Curtis

Eric W. Curtis is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Biomedical Engineering, Automotive Engineering and Ecology, having authored 58 papers that have together received 866 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (32 papers), Combustion and flame dynamics (20 papers), Biodiesel Production and Applications (13 papers), Vehicle emissions and performance (10 papers), Heat transfer and supercritical fluids (9 papers), Parasite Biology and Host Interactions (9 papers), Turbomachinery Performance and Optimization (5 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (459 citations), Computational Mechanics (470 citations), Automotive Engineering (185 citations), Aquatic Science (46 citations) and Aerospace Engineering (141 citations). Eric W. Curtis has collaborated with scholars based in United States, France and China. Frequent co-authors include Patrick V. Farrell, Roy P. Yanong, Charles F. Aquino, George A. Lavoie, Mehdi Abarham, John Hoard, Dennis N. Assanis, John Batteh, Stephen Russ and George C. Davis. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Aquatic Animal Health, Journal of the American Veterinary Medical Association, SAE International Journal of Engines and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

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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