Koichi Inoue
- Safety, Risk, Reliability and Quality top 1%
- Statistics, Probability and Uncertainty top 1%
- Control and Systems Engineering top 5%
- Software top 2%
- Aerospace Engineering top 10%
- Co-authors
- Hiromitsu KumamotoErnest J. HenleyKazuo TanakaTakehisa KohdaHajime AKASHIToshiyuki InagakiChikayoshi YATOMIYoshinobu Sato
- Topics
- Reliability and Maintenance Optimization (17 papers)Risk and Safety Analysis (16 papers)Fault Detection and Control Systems (11 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Koichi Inoue
81 papers receiving 749 citations
Peers
Comparison fields: 5 of 75
- Safety, Risk, Reliability and Quality 271
- Statistics, Probability and Uncertainty 242
- Control and Systems Engineering 220
- Software 164
- Aerospace Engineering 146
Countries citing papers authored by Koichi Inoue
This map shows the geographic impact of Koichi Inoue'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 Koichi Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Inoue more than expected).
Fields of papers citing papers by Koichi Inoue
This network shows the impact of papers produced by Koichi Inoue. 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 Koichi Inoue. The network helps show where Koichi Inoue may publish in the future.
Co-authorship network of co-authors of Koichi Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Inoue. A scholar is included among the top collaborators of Koichi Inoue 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 Koichi Inoue. Koichi Inoue 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 | Current Status of Research and Development on Active Debris Removal at JAXA | 10 |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | Design Methods of Robust Feedback Controller by Use of Neural Networks. | 7 |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 3 | |
| 17 | 33 | |
| 18 | 4 | |
| 19 | 8 | |
| 20 | 1 |
About Koichi Inoue
Koichi Inoue is a scholar working on Statistics, Probability and Uncertainty, Software and Safety, Risk, Reliability and Quality, having authored 91 papers that have together received 813 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (17 papers), Risk and Safety Analysis (16 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Software (164 citations), Statistics, Probability and Uncertainty (242 citations) and Safety, Risk, Reliability and Quality (271 citations). Koichi Inoue has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiromitsu Kumamoto, Ernest J. Henley, Kazuo Tanaka, Takehisa Kohda, Hajime AKASHI, Toshiyuki Inagaki, Chikayoshi YATOMI, Yoshinobu Sato, Hideyuki Nakanishi and Y. Sawaragi. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Reliability Engineering & System Safety.
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.