Yuichi Ikeda
- Economics and Econometrics top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Control and Systems Engineering
- Co-authors
- Hiroshi IyetomiAlexander Ryota KeeleyWataru SoumaYoshi FujiwaraHideaki AoyamaP. J. ChristensonC.K. BirdsallJohn Verboncoeur
- Topics
- Complex Systems and Time Series Analysis (26 papers)Complex Network Analysis Techniques (12 papers)Adaptive Control of Nonlinear Systems (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Applied Physics
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuichi Ikeda
89 papers receiving 602 citations
Peers
Comparison fields: 5 of 119
- Economics and Econometrics 221
- Statistical and Nonlinear Physics 115
- Electrical and Electronic Engineering 113
- Radiology, Nuclear Medicine and Imaging 64
- Control and Systems Engineering 58
Countries citing papers authored by Yuichi Ikeda
This map shows the geographic impact of Yuichi Ikeda'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 Yuichi Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Ikeda more than expected).
Fields of papers citing papers by Yuichi Ikeda
This network shows the impact of papers produced by Yuichi Ikeda. 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 Yuichi Ikeda. The network helps show where Yuichi Ikeda may publish in the future.
Co-authorship network of co-authors of Yuichi Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Ikeda. A scholar is included among the top collaborators of Yuichi Ikeda 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 Yuichi Ikeda. Yuichi Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 0 | |
| 11 | Switching control method of servo system using disturbance observer | 1 |
| 12 | 4 | |
| 13 | Impact of Smart Grid Technologies on Peak Load to 2050 | 1 |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | A NON-LINEAR APPROACH TO JAPANESE BUSINESS CYCLES | 1 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | RESOURCE MANAGEMENT METHOD FOR A COMPILER SYSTEM OF A LINEAR LOGIC PROGRAMMING LANGUAGE | 2 |
About Yuichi Ikeda
Yuichi Ikeda is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 106 papers that have together received 637 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (26 papers), Complex Network Analysis Techniques (12 papers) and Adaptive Control of Nonlinear Systems (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (115 citations), Economics and Econometrics (221 citations) and General Energy (7 citations). Yuichi Ikeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroshi Iyetomi, Alexander Ryota Keeley, Wataru Souma, Yoshi Fujiwara, Hideaki Aoyama, P. J. Christenson, C.K. Birdsall, John Verboncoeur, Hiroshi Yoshikawa and Abhijit Chakraborty. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.