Naoto Miyoshi
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Applied Mathematics top 10%
- Management Information Systems top 10%
- Economics and Econometrics
- Co-authors
- Tomoyuki ShiraiFumio MachidaChiranjib SahaHarpreet S. DhillonJeffrey G. AndrewsMasaki AidaKeisuke IshibashiTomasz Rolski
- Topics
- Advanced Queuing Theory Analysis (16 papers)Advanced MIMO Systems Optimization (13 papers)Point processes and geometric inequalities (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlIEEE Transactions on Information Theory
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Naoto Miyoshi
41 papers receiving 368 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 200
- Computer Networks and Communications 191
- Applied Mathematics 55
- Management Information Systems 43
- Economics and Econometrics 39
Countries citing papers authored by Naoto Miyoshi
This map shows the geographic impact of Naoto Miyoshi'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 Naoto Miyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoto Miyoshi more than expected).
Fields of papers citing papers by Naoto Miyoshi
This network shows the impact of papers produced by Naoto Miyoshi. 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 Naoto Miyoshi. The network helps show where Naoto Miyoshi may publish in the future.
Co-authorship network of co-authors of Naoto Miyoshi
This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Miyoshi. A scholar is included among the top collaborators of Naoto Miyoshi 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 Naoto Miyoshi. Naoto Miyoshi 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 | 35 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 8 | |
| 6 | 38 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | Odds theorem in Markov-dependent trials with multiple selection chances, | 1 |
| 10 | 2 | |
| 11 | 5 | |
| 12 | DS-1-7 Scale Free Interval Graphs | 1 |
| 13 | 2 | |
| 14 | A Scalable and Lightweight QoS Monitoring Technique Combining Passive and Active Approaches — On the Mathematical Formulation of CoMPACT Monitor — | 3 |
| 15 | 13 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 0 |
About Naoto Miyoshi
Naoto Miyoshi is a scholar working on Management Information Systems, Statistics and Probability and Management Science and Operations Research, having authored 46 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (16 papers), Advanced MIMO Systems Optimization (13 papers) and Point processes and geometric inequalities (9 papers). The work is most often cited by research in Computer Networks and Communications (191 citations), Applied Mathematics (55 citations) and Management Information Systems (43 citations). Naoto Miyoshi has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Tomoyuki Shirai, Fumio Machida, Chiranjib Saha, Harpreet S. Dhillon, Jeffrey G. Andrews, Masaki Aida, Keisuke Ishibashi, Tomasz Rolski, Yuta Takahashi and Masamitsu Ohnishi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.
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.