M. Emoto

3.3k total citations
60 papers, 351 citations indexed

About

M. Emoto is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, M. Emoto has authored 60 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nuclear and High Energy Physics, 27 papers in Computer Networks and Communications and 22 papers in Biomedical Engineering. Recurrent topics in M. Emoto's work include Magnetic confinement fusion research (34 papers), Superconducting Materials and Applications (21 papers) and Advanced Data Storage Technologies (18 papers). M. Emoto is often cited by papers focused on Magnetic confinement fusion research (34 papers), Superconducting Materials and Applications (21 papers) and Advanced Data Storage Technologies (18 papers). M. Emoto collaborates with scholars based in Japan, Netherlands and United States. M. Emoto's co-authors include K. Ida, C. Suzuki, M. Yokoyama, Y. Suzuki, Y. Nagayama, H. Nakanishi, M. Hamabe, Toshio Kawahara, Hirofumi Watanabe and Satarou Yamaguchi and has published in prestigious journals such as Review of Scientific Instruments, IEEE Transactions on Magnetics and IEEE Transactions on Nuclear Science.

In The Last Decade

M. Emoto

55 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Emoto Japan 10 218 95 83 76 75 60 351
J. M. Moller United States 12 353 1.6× 105 1.1× 40 0.5× 171 2.3× 79 1.1× 44 424
D. Zasche Germany 12 281 1.3× 105 1.1× 47 0.6× 99 1.3× 37 0.5× 28 301
B. Sammuli United States 10 241 1.1× 75 0.8× 53 0.6× 33 0.4× 40 0.5× 29 326
G. Fuchs Germany 15 329 1.5× 63 0.7× 29 0.3× 135 1.8× 72 1.0× 31 417
J. Havlíček Czechia 11 295 1.4× 114 1.2× 16 0.2× 104 1.4× 52 0.7× 51 336
Ruihai Tong China 10 287 1.3× 68 0.7× 13 0.2× 121 1.6× 27 0.4× 55 329
R. Sweeney United States 13 348 1.6× 125 1.3× 13 0.2× 137 1.8× 58 0.8× 42 431
J.B. Lister Switzerland 16 561 2.6× 202 2.1× 41 0.5× 160 2.1× 83 1.1× 46 626
F. Imbeaux France 15 632 2.9× 190 2.0× 32 0.4× 251 3.3× 61 0.8× 60 677
F. Auriemma Italy 14 416 1.9× 117 1.2× 10 0.1× 217 2.9× 51 0.7× 44 444

Countries citing papers authored by M. Emoto

Since Specialization
Citations

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

Fields of papers citing papers by M. Emoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Emoto

This figure shows the co-authorship network connecting the top 25 collaborators of M. Emoto. A scholar is included among the top collaborators of M. Emoto 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 M. Emoto. M. Emoto 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.
Emoto, M., et al.. (2025). "Plasma and Fusion Cloud" Data analysis environment. Fusion Engineering and Design. 211. 114789–114789.
2.
Motojima, G., S. Masuzaki, T. Morisaki, et al.. (2022). Particle control in long-pulse discharge using divertor pumping in LHD. Physica Scripta. 97(3). 35601–35601. 7 indexed citations
3.
Tokuzawa, T., T. Tsujimura, K. Ida, et al.. (2022). Receiver circuit improvement of dual frequency-comb ka-band Doppler backscattering system in the large helical device (LHD). Review of Scientific Instruments. 93(11). 113518–113518. 3 indexed citations
4.
Ida, K., M. Yoshinuma, C. Suzuki, et al.. (2021). Analysis of the Motional Stark Effect (MSE) diagnostic to measure the rotational transform and current profile in the Large Helical Device. Review of Scientific Instruments. 92(5). 53503–53503. 2 indexed citations
5.
Emoto, M., et al.. (2020). Application of LHD Post Data Analysis Systems to the KSTAR Project. Fusion Engineering and Design. 155. 111665–111665.
6.
Emoto, M., et al.. (2019). Improvement of the NIFS Atom and Molecular Database. Atoms. 7(3). 91–91. 4 indexed citations
7.
Creely, A. J., K. Ida, M. Yoshinuma, et al.. (2017). Novel analysis technique for measuring edge density fluctuation profiles with reflectometry in the Large Helical Device. Review of Scientific Instruments. 88(7). 73509–73509. 3 indexed citations
8.
Yokoyama, M., R. Seki, C. Suzuki, et al.. (2017). Extended capability of the integrated transport analysis suite, TASK3D-a, for LHD experiment. Nuclear Fusion. 57(12). 126016–126016. 23 indexed citations
9.
Yokoyama, M., R. Seki, C. Suzuki, et al.. (2014). Integration of Large-Scale Simulations and Numerical Modelling Tools in Close Link with the LHD Experiment. Plasma and Fusion Research. 9(0). 3402017–3402017. 2 indexed citations
10.
Nakanishi, H., M. Emoto, Takashi Yamamoto, et al.. (2014). Revised cloud storage structure for light-weight data archiving in LHD. Fusion Engineering and Design. 89(5). 707–711. 5 indexed citations
11.
Nakanishi, H., M. Shoji, M. Emoto, et al.. (2012). Improved Data Acquisition Methods for Uninterrupted Signal Monitoring and Ultra-Fast Plasma Diagnostics in LHD. Plasma and Fusion Research. 7(0). 2405007–2405007. 3 indexed citations
12.
Kawahara, Toshio, M. Emoto, Hirofumi Watanabe, et al.. (2012). Possibility of a gas-cooled Peltier current lead in the 200 m-class superconducting direct current transmission and distribution system of CASER-2. Physics Procedia. 27. 380–383. 5 indexed citations
13.
Emoto, M., C. Suzuki, Y. Suzuki, et al.. (2012). Performance Improvement in Real-Time Mapping of Thomson Scattering Data to Flux Coordinates in LHD. Plasma and Fusion Research. 7(0). 2405058–2405058. 8 indexed citations
14.
Fukuda, Shinji, M. Emoto, Toshio Kawahara, et al.. (2011). Thermoelectric Property Dependence and Geometry Optimization of Peltier Current Leads Using Highly Electrically Conductive Thermoelectric Materials. Journal of Electronic Materials. 40(5). 691–695. 6 indexed citations
15.
Kawahara, Toshio, et al.. (2010). Estimation for the performance of superconducting DC transmission lines with cryogenics improvements. Physica C Superconductivity. 470. S1011–S1012. 12 indexed citations
16.
Nakanishi, H., M. Kojima, Makoto Hasegawa, et al.. (2010). Data Acquisition and Management System of LHD. Fusion Science & Technology. 58(1). 445–457. 15 indexed citations
17.
Nakanishi, H., Takashi Yamamoto, M. Emoto, et al.. (2010). Clustered Data Storage for Multi-Site Fusion Experiments. Plasma and Fusion Research. 5. S1042–S1042. 3 indexed citations
18.
Nakanishi, H., et al.. (2006). Unification of ultra-wideband data acquisition and real-time monitoring in LHD steady-state experiments. Fusion Engineering and Design. 81(15-17). 1753–1757. 8 indexed citations
19.
Emoto, M., et al.. (2002). Development of a Real-Time Monitoring System and Integration of Different Computer System in LHD Experiments Using IP Multicast.. Journal of Plasma and Fusion Research. 78(10). 1084–1092. 2 indexed citations
20.
Yamaguchi, Satarou, M. Shoji, T. Mito, et al.. (1997). Examples of Data Processing Systems Data Monitoring System for Superconducting and Plasma Experiments( Data Processing in plasma Experiment VI). Journal of Plasma and Fusion Research. 73(3). 335–342. 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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