Eiji Arai
- Industrial and Manufacturing Engineering top 2%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hidefumi WakamatsuShinichi HiraiKeiichi SHIRASEJunichi YagiTatsuo AraiKazuaki IWATAKeiichi NAKAMOTODaisuke Maruoka
- Topics
- Manufacturing Process and Optimization (60 papers)Robotic Mechanisms and Dynamics (18 papers)Robot Manipulation and Learning (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrainThe International Journal of Robotics Research
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Eiji Arai
94 papers receiving 647 citations
Peers
Comparison fields: 5 of 79
- Industrial and Manufacturing Engineering 282
- Control and Systems Engineering 185
- Mechanical Engineering 160
- Biomedical Engineering 118
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Eiji Arai
This map shows the geographic impact of Eiji Arai'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 Eiji Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Arai more than expected).
Fields of papers citing papers by Eiji Arai
This network shows the impact of papers produced by Eiji Arai. 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 Eiji Arai. The network helps show where Eiji Arai may publish in the future.
Co-authorship network of co-authors of Eiji Arai
This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Arai. A scholar is included among the top collaborators of Eiji Arai 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 Eiji Arai. Eiji Arai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | A Method for Flexible Job-Shop Scheduling using Genetic Algorithm | 1 |
| 4 | 2 | |
| 5 | 1 | |
| 6 | Knowledge and Skill Chains in Engineering and Manufacturing: Information Infrastructure in the Era of Global Communications | 0 |
| 7 | 4 | |
| 8 | 74 | |
| 9 | 0 | |
| 10 | 19 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 2 |
About Eiji Arai
Eiji Arai is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Control and Systems Engineering, having authored 113 papers that have together received 719 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (60 papers), Robotic Mechanisms and Dynamics (18 papers) and Robot Manipulation and Learning (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (282 citations), Control and Systems Engineering (185 citations) and Gastroenterology (40 citations). Eiji Arai has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Hidefumi Wakamatsu, Shinichi Hirai, Keiichi SHIRASE, Junichi Yagi, Tatsuo Arai, Kazuaki IWATA, Keiichi NAKAMOTO, Daisuke Maruoka, Osamu Yokosuka and Fumio Imazeki. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain and The International Journal of Robotics Research.
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.