Gen Shibata

1.0k total citations
71 papers, 807 citations indexed

About

Gen Shibata is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Gen Shibata has authored 71 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Fluid Flow and Transfer Processes, 40 papers in Computational Mechanics and 29 papers in Biomedical Engineering. Recurrent topics in Gen Shibata's work include Advanced Combustion Engine Technologies (58 papers), Combustion and flame dynamics (35 papers) and Biodiesel Production and Applications (28 papers). Gen Shibata is often cited by papers focused on Advanced Combustion Engine Technologies (58 papers), Combustion and flame dynamics (35 papers) and Biodiesel Production and Applications (28 papers). Gen Shibata collaborates with scholars based in Japan, United Kingdom and United States. Gen Shibata's co-authors include Tomonori Urushihara, Hideyuki Ogawa, Yoshimitsu Kobashi, Ken‐ichi Shimizu, Yuta Nakasaka, Yuki Okamoto, David E. Foster, Keisuke Oda, Akihiro Morita and Jun Goto and has published in prestigious journals such as International Journal of Hydrogen Energy, Fuel and Catalysis Today.

In The Last Decade

Gen Shibata

66 papers receiving 777 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gen Shibata Japan 15 679 455 295 288 211 71 807
Matthias Thewes Germany 13 693 1.0× 335 0.7× 299 1.0× 450 1.6× 200 0.9× 37 927
Tiegang Hu China 9 537 0.8× 193 0.4× 238 0.8× 362 1.3× 185 0.9× 18 644
Christophe Barro Switzerland 13 468 0.7× 206 0.5× 235 0.8× 169 0.6× 227 1.1× 25 567
Stefano Iannuzzi Italy 10 569 0.8× 221 0.5× 235 0.8× 405 1.4× 217 1.0× 22 649
Tien Mun Foong United States 11 603 0.9× 372 0.8× 147 0.5× 418 1.5× 208 1.0× 13 803
Yoshinaka Takeda Japan 14 773 1.1× 494 1.1× 342 1.2× 343 1.2× 232 1.1× 23 853
Ashand M. Namasivayam United Kingdom 5 817 1.2× 376 0.8× 404 1.4× 465 1.6× 227 1.1× 7 947
Kai Morganti United States 17 861 1.3× 532 1.2× 348 1.2× 471 1.6× 122 0.6× 26 1.0k
Christopher P. Kolodziej United States 19 940 1.4× 641 1.4× 446 1.5× 361 1.3× 242 1.1× 56 1.1k
Abdullah S. AlRamadan Saudi Arabia 17 689 1.0× 518 1.1× 176 0.6× 291 1.0× 121 0.6× 63 777

Countries citing papers authored by Gen Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Gen Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Shibata

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Shibata. A scholar is included among the top collaborators of Gen Shibata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gen Shibata. Gen Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ogawa, Hideyuki, et al.. (2024). Influence of spray-to-spray interaction after wall impingement of spray flames on diesel combustion characteristics. International Journal of Engine Research. 25(11). 2032–2044.
2.
Kobashi, Yoshimitsu, et al.. (2023). Improvements in thermal efficiency and exhaust emissions with ozone addition in a natural gas-diesel dual fuel engine. International Journal of Engine Research. 24(8). 3544–3555. 1 indexed citations
3.
Ogawa, Hideyuki, et al.. (2023). Improvement of diesel combustion with suppression of mutual fuel spray flame interactions with staggered nozzle hole arrangement and a spatially divided combustion chamber. International Journal of Engine Research. 24(9). 4276–4286. 3 indexed citations
4.
Kobashi, Yoshimitsu, et al.. (2022). Improvements of Combustion and Emissions in a Natural Gas Fueled Engine with Hydrogen Enrichment and Optimized Injection Timings of the Diesel Fuel. SAE International Journal of Advances and Current Practices in Mobility. 5(5). 1709–1718.
5.
Shibata, Gen, et al.. (2022). Oxidation phenomena of diesel post fuel in the expansion stroke. International Journal of Engine Research. 24(3). 1095–1109.
6.
Kobashi, Yoshimitsu, et al.. (2020). EGR gas composition effects on ignition delays in diesel combustion. Fuel. 281. 118730–118730. 16 indexed citations
7.
8.
Kobashi, Yoshimitsu, Yuma Tanaka, Gen Shibata, & Hideyuki Ogawa. (2019). An Investigation of the Effects of Engine Size and Rotation Speed on Diesel Combustion based on Similarity Rules. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
9.
Shibata, Gen, et al.. (2019). Measurements of fuel adhesion on cylinder walls and fuel wall-flow behavior with post diesel fuel injections. International Journal of Engine Research. 21(2). 352–366. 12 indexed citations
10.
Watanabe, Yusuke, et al.. (2018). Diesel Fuel Reformation by Piston Compression of Rich Mixture. Transactions of the Society of Automotive Engineers of Japan. 49(1). 1 indexed citations
11.
Shibata, Gen, et al.. (2018). Optimization of multiple heat releases in pre-mixed diesel engine combustion for high thermal efficiency and low combustion noise by a genetic-based algorithm method. International Journal of Engine Research. 20(5). 540–554. 14 indexed citations
12.
Shibata, Gen, Hideyuki Ogawa, Yoshimitsu Kobashi, et al.. (2017). Development of NH₃-SCR Reaction Computation Model in Zeolite Catalyst. Transactions of the Society of Automotive Engineers of Japan. 48(2). 1 indexed citations
13.
Kobashi, Yoshimitsu, et al.. (2017). An Investigation of the Transient DPF Pressure Drop under Cold Start Conditions in Diesel Engines. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
14.
15.
Shibata, Gen, et al.. (2014). Molecular Structure of Hydrocarbons and Auto-Ignition Characteristics of HCCI Engines. SAE international journal of fuels and lubricants. 7(3). 1050–1061. 2 indexed citations
16.
Ogawa, Hideyuki, et al.. (2014). Visualization Analysis of Diesel Combustion with Water and Diesel Fuel Emulsified Blend in a Constant Volume Chamber Vessel. SAE technical papers on CD-ROM/SAE technical paper series. 1. 6 indexed citations
17.
Ogawa, Hideyuki, et al.. (2013). Improvements in Thermal Efficiency of Premixed Diesel Combustion with Low Distillation Temperature Fuels. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
18.
Shibata, Gen, et al.. (2013). Identification of Factors Influencing Premixed Diesel Engine Noise and Mechanism of Noise Reduction by EGR and Supercharging. SAE technical papers on CD-ROM/SAE technical paper series. 1. 21 indexed citations
19.
Shibata, Gen, et al.. (1995). The Development of Driveability Index and the Effects of Gasoline Volatility on Engine Performance. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
20.
Shibata, Gen, et al.. (1992). Effect of Intake Valve Deposits and Gasoline Composition on S.I. Engine Performance. SAE technical papers on CD-ROM/SAE technical paper series. 12 indexed citations

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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