Junji Morikawa

1.1k total citations
102 papers, 800 citations indexed

About

Junji Morikawa is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Junji Morikawa has authored 102 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Nuclear and High Energy Physics, 41 papers in Electrical and Electronic Engineering and 29 papers in Astronomy and Astrophysics. Recurrent topics in Junji Morikawa's work include Magnetic confinement fusion research (63 papers), Ionosphere and magnetosphere dynamics (26 papers) and Particle accelerators and beam dynamics (25 papers). Junji Morikawa is often cited by papers focused on Magnetic confinement fusion research (63 papers), Ionosphere and magnetosphere dynamics (26 papers) and Particle accelerators and beam dynamics (25 papers). Junji Morikawa collaborates with scholars based in Japan, Germany and United States. Junji Morikawa's co-authors include Zensho Yoshida, Yuichi Ogawa, H. Saitoh, Yoshihisa Yano, Sho Watanabe, N. Yanagi, T. Mito, H. Himura, S. Mizumaki and Taizo Tosaka and has published in prestigious journals such as Physical Review Letters, Japanese Journal of Applied Physics and Review of Scientific Instruments.

In The Last Decade

Junji Morikawa

96 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Morikawa Japan 16 442 332 302 194 188 102 800
J.W. Berkery United States 16 852 1.9× 512 1.5× 124 0.4× 94 0.5× 247 1.3× 70 961
Biao Shen China 19 723 1.6× 306 0.9× 102 0.3× 60 0.3× 226 1.2× 97 900
M. de Baar Netherlands 19 797 1.8× 320 1.0× 90 0.3× 81 0.4× 216 1.1× 61 931
Y. Hirano Japan 17 653 1.5× 431 1.3× 273 0.9× 105 0.5× 135 0.7× 121 871
H. Park United States 16 944 2.1× 592 1.8× 211 0.7× 122 0.6× 219 1.2× 56 1.1k
ASDEX Upgrade Team Germany 18 942 2.1× 395 1.2× 154 0.5× 83 0.4× 294 1.6× 39 1.1k
S. K. Mattoo India 13 427 1.0× 285 0.9× 172 0.6× 90 0.5× 93 0.5× 62 574
J.-M. Moret Switzerland 21 808 1.8× 292 0.9× 425 1.4× 207 1.1× 170 0.9× 71 1.2k
R. Pánek Czechia 18 939 2.1× 319 1.0× 283 0.9× 104 0.5× 320 1.7× 143 1.1k
P. Moreau France 17 616 1.4× 211 0.6× 258 0.9× 57 0.3× 196 1.0× 93 886

Countries citing papers authored by Junji Morikawa

Since Specialization
Citations

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

Fields of papers citing papers by Junji Morikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Morikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Morikawa. A scholar is included among the top collaborators of Junji Morikawa 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 Junji Morikawa. Junji Morikawa 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.
Goto, Satoshi, et al.. (2022). An Analysis for Uncertainty Power Fluctuations of Dynamic Pricing Type FastADR by AI Controlled Large-scale Distributed Air-conditioners. IEEJ Transactions on Power and Energy. 142(9). 453–460.
2.
Morikawa, Junji, et al.. (2019). Dynamic SMOTE training of neural networks used in real‐time pricing control for building air‐conditioners. IEEJ Transactions on Electrical and Electronic Engineering. 14(11). 1727–1728. 2 indexed citations
3.
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5.
Nakamura, Atsushi, et al.. (2018). Training Method for Smart Grid Power Limitation Prediction Model of Building Air-conditioners with FastADR Signal Modulation during Normal Operation. IEEJ Transactions on Industry Applications. 138(3). 199–205. 2 indexed citations
6.
Suzuki, Keita, et al.. (2016). Applying DNA analysis method to training data mining for FastADR response model of air‐conditioning power consumption. IEEJ Transactions on Electrical and Electronic Engineering. 12(3). 440–441. 4 indexed citations
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8.
Morikawa, Junji, et al.. (2015). Impact of Burst Packet Loss on Communication of Remote Monitoring System for Building Facilities. 35(3). 212–218. 2 indexed citations
9.
Yoshida, Zensho, H. Saitoh, Junji Morikawa, et al.. (2010). Magnetospheric Vortex Formation: Self-Organized Confinement of Charged Particles. Physical Review Letters. 104(23). 235004–235004. 55 indexed citations
10.
Morikawa, Junji, et al.. (2004). Plasma Production and Levitation Experiments of a High-temperature Superconductor Coil in a Mini-RT Internal Coil Device. TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan). 39(5). 209–216. 3 indexed citations
11.
Mito, T., N. Yanagi, Yuichi Ogawa, et al.. (2004). Design and Construction of a Mini-RT Device. TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan). 39(5). 182–192. 1 indexed citations
12.
Ogawa, Yuichi, Junji Morikawa, T. Goto, et al.. (2004). System Design of a Magnetically Levitated Internal Coil Device Mini-RT. TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan). 39(5). 175–181. 3 indexed citations
13.
Saitoh, H., et al.. (2004). Confinement of Pure-Electron Plasmas in a Toroidal Magnetic-Surface Configuration. Physical Review Letters. 92(25). 255005–255005. 28 indexed citations
14.
Ogawa, Yuichi, et al.. (2003). Development of a Detachable Current Feeder Terminal for Direct Excitation of Magnetically Levitated High-temperature Superconducting Coils. TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan). 38(10). 560–564. 3 indexed citations
15.
Yanagi, N., T. Mito, Yoshimitsu Hishinuma, et al.. (2003). Excitation test results of the HTS floating coil for the mini-RT project. IEEE Transactions on Applied Superconductivity. 13(2). 1504–1507. 9 indexed citations
16.
Yoshida, Zensho, et al.. (2002). Injection of electron beam into a toroidal trap using chaotic orbits near magnetic null. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(3). 36409–36409. 19 indexed citations
17.
Yanagi, N., Junji Morikawa, T. Mito, et al.. (2002). Engineering research and development of magnetically levitated high-temperature superconducting coil system for mini-RT project. IEEE Transactions on Applied Superconductivity. 12(1). 948–951. 8 indexed citations
18.
Yoshida, Zensho, et al.. (1998). Toroidal Confinement of Non-neutral Plasma. APS Division of Plasma Physics Meeting Abstracts. 2 indexed citations
19.
Hattori, Kenichi, et al.. (1989). Asymmetric Perturbations of Toroidal Flux in Ramped-Up Discharges on Repute-1 Reversed Field Pinch. Journal of the Physical Society of Japan. 58(1). 24–27. 2 indexed citations
20.
Morikawa, Junji, et al.. (1986). Production of 35 keV, 1 A Steady-State Ion Beam. Japanese Journal of Applied Physics. 25(11R). 1729–1729. 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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