Hiroaki Daido
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Biomedical Engineering top 10%
- Co-authors
- Kensuke S. IkedaO. AkimotoKenji NakanishiGouhei TanakaKazuyuki AiharaKai MorinoKazuhisa TomitaJohn L. Hudson
- Topics
- Nonlinear Dynamics and Pattern Formation (53 papers)Quantum chaos and dynamical systems (17 papers)stochastic dynamics and bifurcation (16 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Hiroaki Daido
64 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 1.9k
- Statistical and Nonlinear Physics 1.3k
- Cognitive Neuroscience 775
- Atomic and Molecular Physics, and Optics 480
- Biomedical Engineering 284
Countries citing papers authored by Hiroaki Daido
This map shows the geographic impact of Hiroaki Daido'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 Hiroaki Daido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Daido more than expected).
Fields of papers citing papers by Hiroaki Daido
This network shows the impact of papers produced by Hiroaki Daido. 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 Hiroaki Daido. The network helps show where Hiroaki Daido may publish in the future.
Co-authorship network of co-authors of Hiroaki Daido
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Daido. A scholar is included among the top collaborators of Hiroaki Daido 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 Hiroaki Daido. Hiroaki Daido 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 | 8 | |
| 3 | 16 | |
| 4 | 50 | |
| 5 | 23 | |
| 6 | 25 | |
| 7 | 38 | |
| 8 | 72 | |
| 9 | 43 | |
| 10 | 131 | |
| 11 | 46 | |
| 12 | 35 | |
| 13 | 2 | |
| 14 | 122 | |
| 15 | 23 | |
| 16 | 26 | |
| 17 | 78 | |
| 18 | 6 | |
| 19 | Coupling Sensitivity of Chaos--A New Universal Property of Chaotic Dynamical Systems | 1 |
| 20 | 17 |
About Hiroaki Daido
Hiroaki Daido is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Condensed Matter Physics, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (53 papers), Quantum chaos and dynamical systems (17 papers) and stochastic dynamics and bifurcation (16 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Computer Networks and Communications (1.9k citations) and Cognitive Neuroscience (775 citations). Hiroaki Daido has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Kensuke S. Ikeda, O. Akimoto, Kenji Nakanishi, Gouhei Tanaka, Kazuyuki Aihara, Kai Morino, Kazuhisa Tomita, John L. Hudson, István Z. Kiss and Yumei Zhai. Their work appears in journals such as Physical Review Letters, Journal of Theoretical Biology and Physics Letters A.
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.