Yasuhiro Urata

18 papers receiving 509 citations

Peers

Yasuhiro Urata
Comparison fields: 5 of 40
  • Fluid Flow and Transfer Processes 386
  • Automotive Engineering 215
  • Computational Mechanics 193
  • Biomedical Engineering 231
  • Spectroscopy 83
Replace Mohamed H. Morsy with:
Mohamed H. Morsy Egypt
Randy E. Herold United States
Hyunwook Park South Korea
Nicos Ladommatos United Kingdom
Rajavasanth Rajasegar United States
Aniket Tekawade United States
Gladys Moréac France
Taisuke Shiraishi Japan
Bruno Moreau France
Matthew J. McNenly United States
Yasuhiro Urata relative to Mohamed H. Morsy Egypt Mohamed H. Morsy's profile →
Citations per field
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Mohamed H. Morsy · 1×
Citations per year

Countries citing papers authored by Yasuhiro Urata

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Urata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
SIP Innovative Combustion Technology Projects; Super Lean Burn Concept for Gasoline Engines with High Thermal Efficiency
20160
2 20162
3
Analysis of In-Cylinder Flow for a Boosted GDI Engine using High Speed Particle Image Velocimetry
20154
4 201310
5 20120
6 20126
7 201114
8 201113
9 2011134
10 20110
11 20092
12 20082
13 2007126
14 200614
15 200476
16 19981
17 19970
18 19970
19 199739
20 199349

About Yasuhiro Urata

Yasuhiro Urata is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering, Computational Mechanics, Biomedical Engineering and Spectroscopy, having authored 24 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (19 papers), Vehicle emissions and performance (13 papers), Combustion and flame dynamics (9 papers), Biodiesel Production and Applications (7 papers), Catalytic Processes in Materials Science (4 papers), Engineering Applied Research (3 papers), Spectroscopy and Laser Applications (3 papers) and Combustion and Detonation Processes (2 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (386 citations), Automotive Engineering (215 citations), Computational Mechanics (193 citations), Biomedical Engineering (231 citations) and Spectroscopy (83 citations). Yasuhiro Urata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masato Mikami, Naoya Kojima, Toru Miyamoto, Hajime Kabashima, Hirokazu Hasegawa, Xinliang An, Andrew W. Caswell, Scott T. Sanders, Laura A. Kranendonk and Robert Huber. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, SAE International Journal of Engines, International Journal of Engine Research, Optics Express and International Journal of Hydrogen 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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