Hiroaki Daido

3.2k total citations · 1 hit paper
64 papers, 2.5k citations indexed

About

Hiroaki Daido is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Hiroaki Daido has authored 64 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 43 papers in Statistical and Nonlinear Physics and 19 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Hiroaki Daido's work include Nonlinear Dynamics and Pattern Formation (53 papers), Quantum chaos and dynamical systems (17 papers) and stochastic dynamics and bifurcation (16 papers). Hiroaki Daido is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (53 papers), Quantum chaos and dynamical systems (17 papers) and stochastic dynamics and bifurcation (16 papers). Hiroaki Daido collaborates with scholars based in Japan, Germany and United States. Hiroaki Daido's 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 and has published in prestigious journals such as Physical Review Letters, Journal of Theoretical Biology and Physics Letters A.

In The Last Decade

Hiroaki Daido

64 papers receiving 2.4k citations

Hit Papers

Optical Turbulence: Chaotic Behavior of Transmitted Light... 1980 2026 1995 2010 1980 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hiroaki Daido Japan 24 1.9k 1.3k 775 480 284 64 2.5k
C. J. Pérez Vicente Spain 12 2.0k 1.0× 1.0k 0.8× 826 1.1× 285 0.6× 544 1.9× 18 2.6k
Juan A. Acebrón Spain 13 2.1k 1.1× 1.1k 0.9× 826 1.1× 343 0.7× 595 2.1× 42 2.9k
Renato Mirollo United States 20 3.0k 1.6× 1.5k 1.2× 1.1k 1.4× 411 0.9× 736 2.6× 31 3.6k
Hiroya Nakao Japan 28 1.8k 0.9× 1.3k 1.0× 737 1.0× 316 0.7× 259 0.9× 112 2.5k
P. Parmananda India 28 1.5k 0.8× 1.4k 1.1× 372 0.5× 300 0.6× 171 0.6× 154 2.2k
A. G. Balanov United Kingdom 23 961 0.5× 947 0.8× 350 0.5× 622 1.3× 112 0.4× 100 1.9k
Serhiy Yanchuk Germany 33 2.3k 1.2× 1.7k 1.4× 768 1.0× 298 0.6× 299 1.1× 110 2.9k
Zhigang Zheng China 21 1.4k 0.7× 1.2k 1.0× 479 0.6× 215 0.4× 283 1.0× 194 2.0k
Sudeshna Sinha India 37 1.5k 0.8× 2.4k 1.9× 639 0.8× 254 0.5× 148 0.5× 162 3.6k
Yuri Maistrenko Ukraine 32 3.8k 2.0× 2.3k 1.9× 1.4k 1.9× 353 0.7× 1.3k 4.4× 67 4.6k

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
1.
Daido, Hiroaki. (2017). Boundary in the dynamic phase of globally coupled oscillatory and excitable units. Physical review. E. 96(1). 12210–12210. 2 indexed citations
2.
Daido, Hiroaki, et al.. (2016). Bifurcation and scaling at the aging transition boundary in globally coupled excitable and oscillatory units. Physical review. E. 93(5). 52226–52226. 8 indexed citations
3.
Daido, Hiroaki. (2015). Susceptibility of large populations of coupled oscillators. Physical Review E. 91(1). 12925–12925. 16 indexed citations
4.
Tanaka, Gouhei, Kai Morino, Hiroaki Daido, & Kazuyuki Aihara. (2014). Dynamical robustness of coupled heterogeneous oscillators. Physical Review E. 89(5). 52906–52906. 50 indexed citations
5.
Daido, Hiroaki, et al.. (2013). Onset of dynamic activity in globally coupled excitable and oscillatory units. Physical Review E. 88(5). 52907–52907. 23 indexed citations
6.
Daido, Hiroaki. (2011). Strong-coupling limit in heterogeneous populations of coupled oscillators. Physical Review E. 84(1). 16215–16215. 25 indexed citations
7.
Daido, Hiroaki. (2008). Aging transition and disorder-induced coherence in locally coupled oscillators. Europhysics Letters (EPL). 84(1). 10002–10002. 38 indexed citations
8.
Daido, Hiroaki & Kenji Nakanishi. (2007). Aging and clustering in globally coupled oscillators. Physical Review E. 75(5). 56206–56206. 72 indexed citations
9.
Daido, Hiroaki & Kenji Nakanishi. (2006). Diffusion-Induced Inhomogeneity in Globally Coupled Oscillators: Swing-By Mechanism. Physical Review Letters. 96(5). 54101–54101. 43 indexed citations
10.
Daido, Hiroaki & Kenji Nakanishi. (2004). Aging Transition and Universal Scaling in Oscillator Networks. Physical Review Letters. 93(10). 104101–104101. 131 indexed citations
11.
Daido, Hiroaki. (2001). Why Circadian Rhythms are Circadian: Competitive Population Dynamics of Biological Oscillators. Physical Review Letters. 87(4). 48101–48101. 46 indexed citations
12.
Daido, Hiroaki. (2001). Why Circadian Rhythms are Circadian. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 35 indexed citations
13.
Daido, Hiroaki. (1998). Correlation resonance in noise-driven coupled nonlinear oscillators. Physica D Nonlinear Phenomena. 116(3-4). 325–341. 2 indexed citations
14.
Daido, Hiroaki. (1996). Onset of cooperative entrainment in limit-cycle oscillators with uniform all-to-all interactions: bifurcation of the order function. Physica D Nonlinear Phenomena. 91(1-2). 24–66. 122 indexed citations
15.
Daido, Hiroaki. (1995). Multi-branch entrainment and multi-peaked order-functions in a phase model of limit-cycle oscillators with uniform all-to-all coupling. Journal of Physics A Mathematical and General. 28(5). L151–L157. 23 indexed citations
16.
Daido, Hiroaki. (1992). Order Function and Macroscopic Mutual Entrainment in Uniformly Coupled Limit-Cycle Oscillators. Progress of Theoretical Physics. 88(6). 1213–1218. 26 indexed citations
17.
Daido, Hiroaki. (1992). Order Function and Macroscopic Mutual Entrainment in Uniformly Coupled Limit-Cycle Oscillators. Progress of Theoretical Physics. 88(6). 1213–1218. 78 indexed citations
18.
Daido, Hiroaki. (1985). Coupling sensitivity of chaos and the Lyapunov dimension: The case of coupled two-dimensional maps. Physics Letters A. 110(1). 5–9. 6 indexed citations
19.
Daido, Hiroaki. (1985). Coupling Sensitivity of Chaos--A New Universal Property of Chaotic Dynamical Systems. Medical Entomology and Zoology. 75–95. 1 indexed citations
20.
Daido, Hiroaki. (1984). Coupling Sensitivity of Chaos. Progress of Theoretical Physics. 72(4). 853–856. 17 indexed citations

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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