William De Ojeda

468 citations
22 papers · 391 · h-index 12

Impact in

Papers in

William De Ojeda

20 papers receiving 376 citations

Peers

William De Ojeda
Comparison fields: 5 of 27
  • Fluid Flow and Transfer Processes 365
  • Automotive Engineering 196
  • Computational Mechanics 179
  • Biomedical Engineering 187
  • Materials Chemistry 95
Replace Xiaoguo Tang with:
Xiaoguo Tang United States
Harsh Goyal Saudi Arabia
Chuanhui Cheng China
G. H. Abd Alla Egypt
Xiyu Yang China
Jürgen Willand Germany
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In Mo Youn South Korea
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Citations per field
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Citations per year

Countries citing papers authored by William De Ojeda

Since Specialization
Citations

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

Fields of papers citing papers by William De Ojeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William De Ojeda. 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 William De Ojeda. The network helps show where William De Ojeda may publish in the future.

Co-authors

The 17 scholars most cited alongside William De Ojeda, 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 William De Ojeda Line = papers co-authored together William De Ojeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200851
2 200948
3 201147
4 201346
5 201039
6 201232
7 201428
8 201219
9 201216
10 201215
11 201214
12 201613
13 19958
14 20165
15 20233
16 19922
17 20232
18 20241
19 20031
20 20231

About William De Ojeda

William De Ojeda is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Automotive Engineering, Biomedical Engineering and Materials Chemistry, having authored 22 papers that have together received 391 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (19 papers), Biodiesel Production and Applications (8 papers), Combustion and flame dynamics (7 papers), Vehicle emissions and performance (6 papers), Catalytic Processes in Materials Science (5 papers), Hydraulic and Pneumatic Systems (4 papers), Rocket and propulsion systems research (3 papers) and Heat transfer and supercritical fluids (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (365 citations), Automotive Engineering (196 citations), Computational Mechanics (179 citations), Biomedical Engineering (187 citations) and Materials Chemistry (95 citations). William De Ojeda has collaborated with scholars based in United States and Canada. Frequent co-authors include Raj Kumar, Yu Zhang, Ming Zheng, Xiaoye Han, Thomas Wallner, Andrew Ickes, David D. Wickman, Kelvin Y. Xie, Christopher Chadwell and Terrence Alger. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, SAE international journal of fuels and lubricants, International Journal of Rotating Machinery and Volume 1: Turbomachinery.

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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