Naoki Uchiyama
- Control and Systems Engineering top 0.5%
- Mechanical Engineering top 2%
- Biomedical Engineering top 10%
- Computational Mechanics top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Shigenori SanoHuimin OuyangBambang SumantriMasayoshi KumagaiKenshi FukumitsuAbdelkhalick MohammadTakao UmegakiTakafumi Kanazawa
- Topics
- Iterative Learning Control Systems (69 papers)Dynamics and Control of Mechanical Systems (41 papers)Hydraulic and Pneumatic Systems (38 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersJournal of Applied Physics
In The Last Decade
Naoki Uchiyama
212 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 109
- Control and Systems Engineering 1.2k
- Mechanical Engineering 752
- Biomedical Engineering 340
- Computational Mechanics 325
- Computer Vision and Pattern Recognition 280
Countries citing papers authored by Naoki Uchiyama
This map shows the geographic impact of Naoki Uchiyama'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 Naoki Uchiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Uchiyama more than expected).
Fields of papers citing papers by Naoki Uchiyama
This network shows the impact of papers produced by Naoki Uchiyama. 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 Naoki Uchiyama. The network helps show where Naoki Uchiyama may publish in the future.
Co-authorship network of co-authors of Naoki Uchiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Uchiyama. A scholar is included among the top collaborators of Naoki Uchiyama 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 Naoki Uchiyama. Naoki Uchiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Numerical Study of Helicopter Rotor Flowfield | 1 |
About Naoki Uchiyama
Naoki Uchiyama is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Mechanics, having authored 230 papers that have together received 2.1k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (69 papers), Dynamics and Control of Mechanical Systems (41 papers) and Hydraulic and Pneumatic Systems (38 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Mechanical Engineering (752 citations) and Computational Mechanics (325 citations). Naoki Uchiyama has collaborated with scholars based in Japan, Egypt and Tanzania. Frequent co-authors include Shigenori Sano, Huimin Ouyang, Bambang Sumantri, Masayoshi Kumagai, Kenshi Fukumitsu, Abdelkhalick Mohammad, Takao Umegaki, Takafumi Kanazawa, Masashi Mikami and Oliver Sawodny. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.
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.