S. Nakano

1.6k total citations
47 papers, 415 citations indexed

About

S. Nakano is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Molecular Biology. According to data from OpenAlex, S. Nakano has authored 47 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 14 papers in Atmospheric Science and 11 papers in Molecular Biology. Recurrent topics in S. Nakano's work include Ionosphere and magnetosphere dynamics (24 papers), Solar and Space Plasma Dynamics (16 papers) and Geomagnetism and Paleomagnetism Studies (11 papers). S. Nakano is often cited by papers focused on Ionosphere and magnetosphere dynamics (24 papers), Solar and Space Plasma Dynamics (16 papers) and Geomagnetism and Paleomagnetism Studies (11 papers). S. Nakano collaborates with scholars based in Japan, United States and United Kingdom. S. Nakano's co-authors include Tomoyuki Higuchi, G. Ueno, T. Iyemori, Mei‐Ching Fok, Ryuho Kataoka, Fei He, Xiaoxin Zhang, K. Keika, R. M. Katus and Ruilin Lin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

S. Nakano

40 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Nakano Japan 11 241 105 92 84 55 47 415
Zhong Peng China 14 243 1.0× 144 1.4× 98 1.1× 42 0.5× 141 2.6× 36 516
H. C. Godinez United States 11 388 1.6× 126 1.2× 81 0.9× 48 0.6× 45 0.8× 31 498
Wen Yi China 14 435 1.8× 53 0.5× 199 2.2× 98 1.2× 43 0.8× 73 622
Erman Şentürk Türkiye 14 118 0.5× 29 0.3× 24 0.3× 296 3.5× 18 0.3× 43 416
Samed İnyurt Türkiye 15 175 0.7× 42 0.4× 41 0.4× 262 3.1× 40 0.7× 36 480
Andrés Calabia China 15 298 1.2× 68 0.6× 118 1.3× 179 2.1× 38 0.7× 41 617
Bing Ji China 12 75 0.3× 65 0.6× 21 0.2× 43 0.5× 70 1.3× 49 516
Daniel Okoh Nigeria 16 559 2.3× 93 0.9× 60 0.7× 297 3.5× 35 0.6× 62 643
Qiaoli Kong China 14 144 0.6× 41 0.4× 25 0.3× 157 1.9× 11 0.2× 37 487
Б. М. Шевцов Russia 14 358 1.5× 151 1.4× 85 0.9× 338 4.0× 75 1.4× 84 603

Countries citing papers authored by S. Nakano

Since Specialization
Citations

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

Fields of papers citing papers by S. Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of S. Nakano. A scholar is included among the top collaborators of S. Nakano 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 S. Nakano. S. Nakano 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
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Kataoka, Ryuho, Aoi Nakamizo, S. Nakano, & Shigeru Fujita. (2024). Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System. Space Weather. 22(1). 1 indexed citations
3.
Kataoka, Ryuho, et al.. (2024). Extended magenta aurora as revealed by citizen science. Scientific Reports. 14(1). 25849–25849. 3 indexed citations
4.
Zenitani, Seiji & S. Nakano. (2023). Loading Loss‐Cone Distributions in Particle Simulations. Journal of Geophysical Research Space Physics. 128(10). 3 indexed citations
5.
Nakano, S., Ryuho Kataoka, M. Nosé, & J. W. Gjerloev. (2023). Probabilistic modelling of substorm occurrences with an echo state network. Annales Geophysicae. 41(2). 529–539. 1 indexed citations
6.
Nakano, S. & Ryuho Kataoka. (2022). Echo state network model for analyzing solar-wind effects on the AU and AL indices. Annales Geophysicae. 40(1). 11–22. 8 indexed citations
7.
Nakano, S.. (2021). Behavior of the iterative ensemble-based variational method in nonlinear problems. Nonlinear processes in geophysics. 28(1). 93–109. 2 indexed citations
8.
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Nakano, S., Yuta Hozumi, Akinori Saito, et al.. (2021). EUV signals associated with O+ ions observed from ISS-IMAP/EUVI in the nightside ionosphere. Earth Planets and Space. 73(1).
10.
He, Fei, Xiaoxin Zhang, Ruilin Lin, et al.. (2017). A new solar wind‐driven global dynamic plasmapause model: 2. Model and validation. Journal of Geophysical Research Space Physics. 122(7). 7172–7187. 27 indexed citations
11.
Zhang, Xiaoxin, Fei He, Ruilin Lin, et al.. (2017). A new solar wind‐driven global dynamic plasmapause model: 1. Database and statistics. Journal of Geophysical Research Space Physics. 122(7). 7153–7171. 20 indexed citations
12.
Nakano, S., et al.. (2016). A sequential Bayesian approach for the estimation of the age–depth relationship of the Dome Fuji ice core. Nonlinear processes in geophysics. 23(1). 31–44. 5 indexed citations
13.
Nakano, S., Mei‐Ching Fok, P. C. Brandt, & Tomoyuki Higuchi. (2014). Estimation of the helium ion density distribution in the plasmasphere based on a single IMAGE/EUV image. Journal of Geophysical Research Space Physics. 119(5). 3724–3740. 8 indexed citations
14.
Nakano, S., Mei‐Ching Fok, P. C. Brandt, & Tomoyuki Higuchi. (2014). Estimation of temporal evolution of the helium plasmasphere based on a sequence of IMAGE/EUV images. Journal of Geophysical Research Space Physics. 119(5). 3708–3723. 9 indexed citations
15.
Nakano, S.. (2013). A prediction algorithm with a limited number of particles for state estimation of high-dimensional systems. International Conference on Information Fusion. 1356–1363. 1 indexed citations
16.
Nakano, S. & Tomoyuki Higuchi. (2012). Weight adjustment of the particle filter on distributed computing systems. International Conference on Information Fusion. 2480–2485. 1 indexed citations
17.
Nagao, Hiromichi, S. Nakano, Naoki Kobayashi, & Tomoyuki Higuchi. (2011). Fault parameter estimation with data assimilation on infrasound variations due to big earthquakes. International Conference on Information Fusion. 1–6. 1 indexed citations
18.
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Nakano, S., G. Ueno, Yusuke Ebihara, et al.. (2008). A method for estimating the ring current structure and the electric potential distribution using energetic neutral atom data assimilation. Journal of Geophysical Research Atmospheres. 113(A5). 14 indexed citations
20.

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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