Hiroshi Gotoda

1.9k total citations
78 papers, 1.5k citations indexed

About

Hiroshi Gotoda is a scholar working on Computational Mechanics, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Hiroshi Gotoda has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computational Mechanics, 42 papers in Computer Networks and Communications and 28 papers in Statistical and Nonlinear Physics. Recurrent topics in Hiroshi Gotoda's work include Combustion and flame dynamics (55 papers), Nonlinear Dynamics and Pattern Formation (42 papers) and Chaos control and synchronization (23 papers). Hiroshi Gotoda is often cited by papers focused on Combustion and flame dynamics (55 papers), Nonlinear Dynamics and Pattern Formation (42 papers) and Chaos control and synchronization (23 papers). Hiroshi Gotoda collaborates with scholars based in Japan, United States and France. Hiroshi Gotoda's co-authors include Shigeru Tachibana, Takaya Miyano, Yuta Okuno, Toshihisa Ueda, Kenta Hayashi, Isao T. Tokuda, Hiroaki Kobayashi, Masaki Kobayashi, Seiji Yoshida and I.G. Shepherd and has published in prestigious journals such as Journal of Applied Physics, Journal of Fluid Mechanics and International Journal of Heat and Mass Transfer.

In The Last Decade

Hiroshi Gotoda

72 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Gotoda Japan 24 1.2k 537 476 449 275 78 1.5k
Vineeth Nair India 13 757 0.6× 252 0.5× 286 0.6× 214 0.5× 283 1.0× 34 937
Shigeru Tachibana Japan 20 1.2k 1.0× 235 0.4× 730 1.5× 177 0.4× 184 0.7× 44 1.4k
Mauro Valorani Italy 24 1.3k 1.1× 116 0.2× 1.1k 2.2× 227 0.5× 58 0.2× 98 1.7k
Lipo Wang China 15 553 0.5× 23 0.0× 249 0.5× 29 0.1× 146 0.5× 66 810
Luca Magri United Kingdom 18 699 0.6× 47 0.1× 219 0.5× 179 0.4× 278 1.0× 86 1.0k
M. B. Kennel United States 10 193 0.2× 258 0.5× 211 0.4× 415 0.9× 9 0.0× 10 913
Eurika Kaiser United States 10 355 0.3× 32 0.1× 20 0.0× 529 1.2× 74 0.3× 25 912
Michael L. Larsen United States 17 71 0.1× 157 0.3× 34 0.1× 80 0.2× 78 0.3× 59 918
J. H. Chen United States 11 1.4k 1.2× 136 0.3× 1.1k 2.3× 11 0.0× 108 0.4× 13 1.6k
Malte Siefert Germany 11 168 0.1× 45 0.1× 6 0.0× 143 0.3× 170 0.6× 30 633

Countries citing papers authored by Hiroshi Gotoda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Gotoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Gotoda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Gotoda. A scholar is included among the top collaborators of Hiroshi Gotoda 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 Hiroshi Gotoda. Hiroshi Gotoda 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
2.
Gotoda, Hiroshi, et al.. (2024). Dynamical state and driving region of combustion instability in a turbulent combustor with a variable swirling flow system. Proceedings of the Combustion Institute. 40(1-4). 105702–105702.
3.
Gotoda, Hiroshi, et al.. (2024). Interaction of acoustic pressure and heat release rate fluctuations in a model rocket engine combustor. Physical review. E. 110(1). 14202–14202.
4.
Gotoda, Hiroshi, et al.. (2023). Early detection of thermoacoustic instability in a staged single-sector combustor for aircraft engines using symbolic dynamics-based approach. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 13 indexed citations
5.
Gotoda, Hiroshi, et al.. (2023). Complex-network analysis of high-frequency combustion instability in a model single-element rocket engine combustor. Journal of Fluid Mechanics. 959. 5 indexed citations
6.
Mamori, Hiroya, et al.. (2023). Dynamic state of low-Reynolds-number turbulent channel flow. Physical review. E. 108(2). 25105–25105. 1 indexed citations
7.
Miyano, Takaya, et al.. (2021). Effect of gravity on synchronization of two coupled buoyancy-induced turbulent flames. Physical review. E. 104(2). 24218–24218. 9 indexed citations
8.
Gotoda, Hiroshi, et al.. (2020). Early Detection of Cascade Flutter in a Model Aircraft Turbine Using a Methodology Combining Complex Networks and Synchronization. Physical Review Applied. 14(1). 7 indexed citations
10.
Gotoda, Hiroshi, et al.. (2019). Early detection of thermoacoustic combustion oscillations using a methodology combining statistical complexity and machine learning. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(10). 103123–103123. 32 indexed citations
11.
Hashimoto, Tatsuya, Hajime Shibuya, Hiroshi Gotoda, Yuya Ohmichi, & Shingo Matsuyama. (2019). Spatiotemporal dynamics and early detection of thermoacoustic combustion instability in a model rocket combustor. Physical review. E. 99(3). 32208–32208. 39 indexed citations
12.
Gotoda, Hiroshi, et al.. (2018). 統計的複雑性と複雑ネットワーク理論に基づく熱音響燃焼振動の特性化と検出【JST・京大機械翻訳】. Physical Review E. 97(2). 22223. 1 indexed citations
13.
Gotoda, Hiroshi, et al.. (2017). Nonlinear dynamics of a buoyancy-induced turbulent fire. Physical review. E. 96(5). 52223–52223. 23 indexed citations
14.
Gotoda, Hiroshi, Hiroaki Kobayashi, & Kenta Hayashi. (2017). Chaotic dynamics of a swirling flame front instability generated by a change in gravitational orientation. Physical review. E. 95(2). 22201–22201. 32 indexed citations
15.
Miyano, Takaya & Hiroshi Gotoda. (2017). Estimation of the degree of dynamical instability from the information entropy of symbolic dynamics. Physical review. E. 96(4). 42203–42203. 9 indexed citations
16.
Gotoda, Hiroshi, et al.. (2016). Stochastic versus chaotic behaviour in the noisy generalized Kuramoto-Sivashinsky equation. Bulletin of the American Physical Society. 1 indexed citations
17.
Gotoda, Hiroshi, Yuta Okuno, Kenta Hayashi, & Shigeru Tachibana. (2015). Characterization of degeneration process in combustion instability based on dynamical systems theory. Physical Review E. 92(5). 52906–52906. 48 indexed citations
18.
Gotoda, Hiroshi, et al.. (2014). Detection and control of combustion instability based on the concept of dynamical system theory. Physical Review E. 89(2). 22910–22910. 114 indexed citations
19.
Gotoda, Hiroshi, Takaya Miyano, & I.G. Shepherd. (2007). E243 Effects of Buoyancy on Lean Premixed Flame on a Rotating Bunsen Burner. The Proceedings of the Thermal Engineering Conference. 2007(0). 355–356. 1 indexed citations
20.
Gotoda, Hiroshi, et al.. (2006). Effect of Swirl on Flickering Motion of Diffusion Flame. Bulletin of the American Physical Society. 59. 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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