Hiroyasu Ando

6.8k total citations
133 papers, 3.1k citations indexed

About

Hiroyasu Ando is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, Hiroyasu Ando has authored 133 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Astronomy and Astrophysics, 33 papers in Instrumentation and 23 papers in Statistical and Nonlinear Physics. Recurrent topics in Hiroyasu Ando's work include Stellar, planetary, and galactic studies (69 papers), Astrophysics and Star Formation Studies (36 papers) and Astronomy and Astrophysical Research (33 papers). Hiroyasu Ando is often cited by papers focused on Stellar, planetary, and galactic studies (69 papers), Astrophysics and Star Formation Studies (36 papers) and Astronomy and Astrophysical Research (33 papers). Hiroyasu Ando collaborates with scholars based in Japan, United States and United Kingdom. Hiroyasu Ando's co-authors include Wako Aoki, Timothy C. Beers, John E. Norris, Sean G. Ryan, Hideyuki Izumiura, Satoshi Honda, Yoichi Takeda, Eiji Kambe, Bun’ei Sato and Masahide Takada‐Hidai and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Hiroyasu Ando

122 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroyasu Ando Japan 33 2.6k 974 298 154 152 133 3.1k
D. W. Kurtz United Kingdom 37 5.6k 2.1× 2.6k 2.7× 103 0.3× 58 0.4× 534 3.5× 308 5.9k
Andrew A. West United States 36 4.4k 1.7× 2.2k 2.2× 213 0.7× 75 0.5× 246 1.6× 96 4.6k
Geoffrey C. Bower United States 38 3.3k 1.2× 126 0.1× 1.7k 5.8× 40 0.3× 103 0.7× 139 3.6k
Martin Haas Germany 26 1.9k 0.7× 450 0.5× 401 1.3× 22 0.1× 115 0.8× 142 2.4k
A. Quirrenbach Germany 34 3.4k 1.3× 1.1k 1.1× 568 1.9× 27 0.2× 147 1.0× 263 3.7k
Miloš Milosavljević United States 35 3.6k 1.4× 1.1k 1.1× 769 2.6× 105 0.7× 49 0.3× 90 4.0k
M. P. Hobson United Kingdom 20 688 0.3× 51 0.1× 512 1.7× 112 0.7× 90 0.6× 41 1.5k
Theo A. ten Brummelaar United States 38 4.1k 1.6× 1.8k 1.9× 113 0.4× 55 0.4× 356 2.3× 227 4.5k
Guillermo González United States 29 2.7k 1.0× 664 0.7× 368 1.2× 55 0.4× 61 0.4× 144 3.6k
Coryn A. L. Bailer‐Jones Germany 20 2.1k 0.8× 1.2k 1.2× 79 0.3× 49 0.3× 160 1.1× 61 2.2k

Countries citing papers authored by Hiroyasu Ando

Since Specialization
Citations

This map shows the geographic impact of Hiroyasu Ando'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 Hiroyasu Ando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyasu Ando more than expected).

Fields of papers citing papers by Hiroyasu Ando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hiroyasu Ando. 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 Hiroyasu Ando. The network helps show where Hiroyasu Ando may publish in the future.

Co-authorship network of co-authors of Hiroyasu Ando

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroyasu Ando. A scholar is included among the top collaborators of Hiroyasu Ando 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 Hiroyasu Ando. Hiroyasu Ando 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.
Ando, Hiroyasu, et al.. (2025). Harvested reservoir computing from road traffic dynamics. Scientific Reports. 15(1). 45547–45547.
2.
Ando, Hiroyasu, et al.. (2025). Reducing Total Trip Time and Vehicle Emission through Park-and-Ride — methods and case-study. Journal of Cleaner Production. 493. 144860–144860.
3.
Ando, Hiroyasu, et al.. (2023). Predicting traffic breakdown on expressways using linear combination of vehicle detector data. Nonlinear Theory and Its Applications IEICE. 14(2). 416–427. 3 indexed citations
4.
Ando, Hiroyasu, et al.. (2023). Mathematical Model Analysis of Photovoltaic-Induced Land Use Transition. 35. 3222–3230.
5.
Ando, Hiroyasu, et al.. (2022). Network formation of next generation electric power and mobility in rural area. 2022 IEEE International Conference on Big Data (Big Data). 126. 3300–3307. 1 indexed citations
6.
Ando, Hiroyasu, et al.. (2021). A model of computing with road traffic dynamics. Nonlinear Theory and Its Applications IEICE. 12(2). 175–180. 4 indexed citations
7.
Ando, Hiroyasu, et al.. (2018). A Study on Distributed Control of Power Packet Distribution Network based on Consensus Model. IEICE Technical Report; IEICE Tech. Rep.. 118(76). 1–5. 1 indexed citations
8.
Kameoka, Hirokazu, et al.. (2017). Non-native speech conversion with consistency-aware recursive network and generative adversarial network. IEICE Technical Report; IEICE Tech. Rep.. 116(477). 315–320.
9.
Ando, Hiroyasu, et al.. (2017). Time-delayed feedback control of diffusion in random walkers. Physical review. E. 96(1). 12148–12148. 3 indexed citations
10.
Amari, S., Hiroyasu Ando, Taro Toyoizumi, & Naoki Masuda. (2013). State concentration exponent as a measure of quickness in Kauffman-type networks. Physical Review E. 87(2). 22814–22814. 5 indexed citations
11.
Амари, Шун-ичи, Hiroyasu Ando, Taro Toyoizumi, & Naoki Masuda. (2012). State concentration measure of quickness in Kauffman-type networks. arXiv (Cornell University). 1 indexed citations
12.
Liu, Yujuan, Bun’ei Sato, Yoichi Takeda, Hiroyasu Ando, & Gang Zhao. (2010). Stellar Parameters and Abundance Analysis of 58 Late G Giants. Publications of the Astronomical Society of Japan. 62(4). 1071–1084. 14 indexed citations
13.
Ando, Hiroyasu & Kazuyuki Aihara. (2006). Adaptation to the edge of chaos in one-dimensional chaotic maps. Physical Review E. 74(6). 66205–66205. 7 indexed citations
14.
Frebel, Anna, Wako Aoki, N. Christlieb, et al.. (2005). The new record holder for the most iron-poor star: HE 1327–2326, a dwarf or subgiant with [Fe/H[=−5.4. Proceedings of the International Astronomical Union. 1(S228). 207–212. 1 indexed citations
15.
Taniguchi, Yoshiaki, M. Ajiki, Takashi Murayama, et al.. (2003). The Discovery of a Very Narrow-Line Star Forming Obat a Redshift of 5.66ject. ArXiv.org. 25 indexed citations
16.
Ryan, Sean G., Wako Aoki, John E. Norris, et al.. (2001). s- and r-process elements in two very metal-poor stars. University of Hertfordshire Research Archive (University of Hertfordshire). 72. 337–346. 1 indexed citations
17.
Ando, Hiroyasu. (1989). New aspects of Cowling's local theory of convection in rotating stars. Publications of the Astronomical Society of Japan. 41(2). 289–296. 1 indexed citations
18.
Ando, Hiroyasu, et al.. (1982). Discovery of an Eclipse in the Unique Binary System BE Ursae Majoris(note). Publications of the Astronomical Society of Japan. 34(1). 141–146. 1 indexed citations
19.
Ando, Hiroyasu & Yoji Osaki. (1977). The Influence of the Chromosphere and Corona on the Solar Atmospheric Oscillations. Publications of the Astronomical Society of Japan. 29(2). 221–233. 11 indexed citations
20.
Ando, Hiroyasu. (1976). Overstability of acoustic modes in late-type stars and its observational implications.. Publications of the Astronomical Society of Japan. 28(4). 517–531. 1 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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