Hiroaki Daido

3.2k citations
64 papers · 2.5k indexed · 1 hit paper · h-index 24
Topics
Nonlinear Dynamics and Pattern Formation (53 papers)Quantum chaos and dynamical systems (17 papers)stochastic dynamics and bifurcation (16 papers)

In The Last Decade

Hiroaki Daido

64 papers receiving 2.4k citations

Hit Papers

Optical Turbulence: Chaotic Behavior of Transmitted Light...19802026199520101980100200300400500

Peers

Hiroaki Daido
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
Replace Renato Mirollo with:
Renato Mirollo United States
Hiroya Nakao Japan
C. J. Pérez Vicente Spain
Juan A. Acebrón Spain
Yuri Maistrenko Ukraine
Hermann Riecke United States
Hyunsuk Hong South Korea
Zhigang Zheng China
Sudeshna Sinha India
A. G. Balanov United Kingdom
Hiroaki Daido relative to Renato Mirollo United States Renato Mirollo's profile →
Citations per field
00.5×1.5×
Renato Mirollo · 1×
Citations per year

Countries citing papers authored by Hiroaki Daido

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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