R. Muto

928 total citations
32 papers, 80 citations indexed

About

R. Muto is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, R. Muto has authored 32 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Aerospace Engineering, 19 papers in Electrical and Electronic Engineering and 16 papers in Biomedical Engineering. Recurrent topics in R. Muto's work include Particle accelerators and beam dynamics (22 papers), Particle Accelerators and Free-Electron Lasers (19 papers) and Superconducting Materials and Applications (15 papers). R. Muto is often cited by papers focused on Particle accelerators and beam dynamics (22 papers), Particle Accelerators and Free-Electron Lasers (19 papers) and Superconducting Materials and Applications (15 papers). R. Muto collaborates with scholars based in Japan, Australia and Canada. R. Muto's co-authors include Masahito Tomizawa, Y. Shirakabe, Katsuya Okamura, Fumihiko Tamura, К. Таnака, Yutaka Uchimura, T. Ogitsu, Tetsushi Shimogawa, M. Naruki and Y. Makida and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and IEEE Transactions on Applied Superconductivity.

In The Last Decade

R. Muto

25 papers receiving 76 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Muto Japan 5 39 36 31 22 15 32 80
M. Mapes United States 6 48 1.2× 60 1.7× 19 0.6× 21 1.0× 10 0.7× 23 100
J. Bauche Switzerland 4 33 0.8× 69 1.9× 33 1.1× 30 1.4× 17 1.1× 16 104
S. Guiducci Italy 7 48 1.2× 84 2.3× 36 1.2× 19 0.9× 27 1.8× 43 111
A. M. Batrakov Russia 5 24 0.6× 30 0.8× 18 0.6× 17 0.8× 12 0.8× 27 75
C.J. Densham United Kingdom 6 29 0.7× 29 0.8× 25 0.8× 33 1.5× 14 0.9× 11 74
Bernhard Holzer Switzerland 5 33 0.8× 50 1.4× 52 1.7× 30 1.4× 6 0.4× 38 85
A. Schamlott Germany 4 38 1.0× 49 1.4× 34 1.1× 19 0.9× 40 2.7× 7 108
W. Craddock United States 4 45 1.2× 40 1.1× 66 2.1× 27 1.2× 9 0.6× 10 94
Dazhang Huang China 7 35 0.9× 82 2.3× 36 1.2× 17 0.8× 51 3.4× 22 103
Garam Hahn South Korea 5 33 0.8× 36 1.0× 17 0.5× 20 0.9× 19 1.3× 31 70

Countries citing papers authored by R. Muto

Since Specialization
Citations

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

Fields of papers citing papers by R. Muto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Muto

This figure shows the co-authorship network connecting the top 25 collaborators of R. Muto. A scholar is included among the top collaborators of R. Muto 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 R. Muto. R. Muto 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.
Muto, R. & Yutaka Uchimura. (2025). Controller Design for the HDD Benchmark Problem using RNN-based Reinforcement Learning. IEEJ Transactions on Industry Applications. 145(3). 119–125.
2.
Muto, R. & Yutaka Uchimura. (2023). Controller design for HDD benchmark problem using RNN-based reinforcement learning. IFAC-PapersOnLine. 56(2). 4424–4429. 4 indexed citations
3.
Hirose, E., H. Takahashi, R. Muto, et al.. (2022). Construction of New Branching Point and Operation of New Primary Beam Line at the J-PARC Hadron Facility. IEEE Transactions on Applied Superconductivity. 32(6). 1–4.
4.
Sugiyama, Yasuyuki, Fumihiko Tamura, Masahito Tomizawa, et al.. (2021). Simulation of Phase-space Offset Injection with Second Harmonic RF for Longitudinal Emittance Blow-up in J-PARC MR. 1 indexed citations
5.
Tomizawa, Masahito, Y Arakaki, Yuki Fujii, et al.. (2019). 8 Gev Slow Extraction Beam Test for Muon to Electron Conversion Search Experiment at J-PARC. JACOW. 2322–2325. 3 indexed citations
6.
Okamura, Katsuya, et al.. (2019). A Consideration on the Transfer Function Between RQ Field and Slow Extraction Spill in the Main Ring of J-Parc. JACOW. 2315–2317. 2 indexed citations
7.
Nishiguchi, H., Yuki Fujii, Y. Fukao, et al.. (2019). Extinction Measurement of J-PARC MR with 8 GeV Proton Beam for the New Muon-to-Electron Conversion Search Experiment - COMET. JACOW. 4372–4375. 4 indexed citations
8.
Hashimoto, Y., Mutsuaki Murakami, R. Muto, et al.. (2019). Beam Profile Monitor for Slow Extracted Beam Using Multi-Layered Graphene at J-PARC. JACOW. 2532–2535. 1 indexed citations
9.
Tomizawa, Motohiro, Y. Arakaki, R. Muto, et al.. (2018). Slow extraction from the J-PARC main ring using a dynamic bump. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 902. 51–61. 8 indexed citations
10.
Tomizawa, Masahito, et al.. (2018). Status and Beam Power Ramp-Up Plans of the Slow Extraction Operation at J-Parc Main Ring. JACOW. 347–351. 1 indexed citations
11.
Tomizawa, Masahito, A. Konaka, R. Muto, & T. Ogitsu. (2018). Beam Optics Design of Stretcher Ring and Transfer Line for J-PARC Slow Extraction. Journal of Physics Conference Series. 1067. 42004–42004. 2 indexed citations
12.
Muto, R., et al.. (2017). Electron cloud simulations for the main ring of J-PARC. Journal of Physics Conference Series. 874. 12065–12065. 2 indexed citations
13.
Ogitsu, T., A. Konaka, Masahito Tomizawa, et al.. (2017). Design Study of Superconducting Transmission Line Magnet for J-PARC MR Upgrade. IEEE Transactions on Applied Superconductivity. 27(4). 1–5. 4 indexed citations
14.
Kuboki, H., et al.. (2016). Electron Cloud Measurements at J-PARC Main Ring. JACOW. 137–139.
15.
Takahashi, Hiroki, K. Aoki, Masayuki Hagiwara, et al.. (2015). Indirectly water-cooled production target at J-PARC hadron facility. Journal of Radioanalytical and Nuclear Chemistry. 305(3). 803–809. 3 indexed citations
16.
Ohmori, Chihiro, E. Ezura, K. Hasegawa, et al.. (2013). Development of a high gradient rf system using a nanocrystalline soft magnetic alloy. Physical Review Special Topics - Accelerators and Beams. 16(11). 15 indexed citations
17.
Hirose, E., M. Ieiri, Iio M, et al.. (2012). Primary proton beam line at the J-PARC hadron experimental facility. Progress of Theoretical and Experimental Physics. 2012(1). 8 indexed citations
18.
Takahashi, H., E. Hirose, M. Ieiri, et al.. (2011). Construction and beam commissioning of Hadron Experimental Hall at J-PARC. Journal of Physics Conference Series. 312(5). 52027–52027. 1 indexed citations
19.
Kiyomichi, A., R. Muto, Hidetoshi Nakagawa, et al.. (2009). DEVELOPMENT OF SPILL CONTROL SYSTEM FOR THE J-PARC SLOW EXTRACTION. 1 indexed citations
20.
Muto, R.. (2004). Measurement of Invariant Mass Spectra of Vector Meson Decaying in Nuclear Matter at KEK-PS. AIP conference proceedings. 698. 138–141. 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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