Naoki Hayashi
- Computer Networks and Communications top 5%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Co-authors
- Shigemasa TakaiYasumasa FujisakiMasao IkedaToshimitsu UshioNobuko NishidaKanehisa MorimotoSatoshi ShizukuishiTatsuya Takeshita
- Topics
- Distributed Control Multi-Agent Systems (39 papers)Neural Networks Stability and Synchronization (14 papers)Advanced Memory and Neural Computing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlScientific Reports
In The Last Decade
Naoki Hayashi
50 papers receiving 379 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 253
- Control and Systems Engineering 109
- Electrical and Electronic Engineering 62
- Artificial Intelligence 61
- Management Science and Operations Research 45
Countries citing papers authored by Naoki Hayashi
This map shows the geographic impact of Naoki Hayashi'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 Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Hayashi more than expected).
Fields of papers citing papers by Naoki Hayashi
This network shows the impact of papers produced by Naoki Hayashi. 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 Hayashi. The network helps show where Naoki Hayashi may publish in the future.
Co-authorship network of co-authors of Naoki Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Hayashi. A scholar is included among the top collaborators of Naoki Hayashi 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 Hayashi. Naoki Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 85 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About Naoki Hayashi
Naoki Hayashi is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Management Science and Operations Research, having authored 58 papers that have together received 385 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (39 papers), Neural Networks Stability and Synchronization (14 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (253 citations), Periodontics (24 citations) and Control and Systems Engineering (109 citations). Naoki Hayashi has collaborated with scholars based in Japan, Malaysia and Tanzania. Frequent co-authors include Shigemasa Takai, Yasumasa Fujisaki, Masao Ikeda, Toshimitsu Ushio, Nobuko Nishida, Kanehisa Morimoto, Satoshi Shizukuishi, Tatsuya Takeshita, T. Adachi and Ken‐ichi Nakayama. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.
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.