Eiichi Ōno

1.6k citations
112 papers · 1.3k · h-index 21

Impact in

Papers in

Eiichi Ōno

101 papers receiving 1.2k citations

Peers

Eiichi Ōno
Comparison fields: 5 of 105
  • Automotive Engineering 567
  • Control and Systems Engineering 459
  • Renewable Energy, Sustainability and the Environment 239
  • Civil and Structural Engineering 220
  • Mechanical Engineering 374
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Enrong Mao China
Vicente Díaz Spain
Wai Keng Ngui Malaysia
Alexander Rassau Australia
Z M Razlan Malaysia
Mike Duke New Zealand
Yen Kheng Tan Singapore
Giuseppe Quaglia Italy
Liu Hong China
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Citations per field
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Citations per year

Countries citing papers authored by Eiichi Ōno

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Ōno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006125
2 200372
3 200267
4 200465
5 201663
6 200656
7 200655
8 201752
9 199438
10 200138
11 201037
12 200429
13 201926
14 199225
15 200225
16 200223
17 200722
18 199321
19 202021
20 199121

About Eiichi Ōno

Eiichi Ōno is a scholar working on Automotive Engineering, Control and Systems Engineering, Mechanical Engineering, Plant Science and Biomedical Engineering, having authored 112 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (34 papers), Mechanical Engineering and Vibrations Research (13 papers), Light effects on plants (11 papers), Robot Manipulation and Learning (10 papers), Real-time simulation and control systems (8 papers), Robotic Path Planning Algorithms (7 papers), Soil Mechanics and Vehicle Dynamics (6 papers) and Ergonomics and Musculoskeletal Disorders (6 papers). The work is most often cited by research in Automotive Engineering (567 citations), Control and Systems Engineering (459 citations), Renewable Energy, Sustainability and the Environment (239 citations), Civil and Structural Engineering (220 citations) and Mechanical Engineering (374 citations). Eiichi Ōno has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Joel L. Cuello, Masaki Yamamoto, S. Hosoe, Yoshikazu Hattori, Hideki Sugiura, Takao Kobayashi, Yoshiyuki Yasui, Syoji Ito, Katsuhiro Asano and Nobuyuki Kita. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Vehicle System Dynamics, IEEE/ASME Transactions on Mechatronics, Biosystems Engineering and IEEE Transactions on Control Systems Technology.

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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