Ikuo Miyoshi

400 total citations
9 papers, 266 citations indexed

About

Ikuo Miyoshi is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications and Astronomy and Astrophysics. According to data from OpenAlex, Ikuo Miyoshi has authored 9 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nuclear and High Energy Physics, 3 papers in Computer Networks and Communications and 3 papers in Astronomy and Astrophysics. Recurrent topics in Ikuo Miyoshi's work include Ionosphere and magnetosphere dynamics (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Magnetic confinement fusion research (3 papers). Ikuo Miyoshi is often cited by papers focused on Ionosphere and magnetosphere dynamics (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Magnetic confinement fusion research (3 papers). Ikuo Miyoshi collaborates with scholars based in Japan, China and United States. Ikuo Miyoshi's co-authors include Miwako Tsuji, Atsushi Oshiyama, Taisuke Boku, Hikaru Inoue, Mitsuo Yokokawa, Daisuke Takahashi, Junichi Iwata, Kazuo Minami, Koji Inoue and Barry Rountree and has published in prestigious journals such as Computer Physics Communications, The International Journal of High Performance Computing Applications and IEICE Transactions on Information and Systems.

In The Last Decade

Ikuo Miyoshi

9 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ikuo Miyoshi Japan	7	133	129	55	49	43	9	266
R. Becker-Szendy United States	6	50 0.4×	218 1.7×	21 0.4×	122 2.5×	25 0.6×	12	403
T. O'Gorman United States	9	136 1.0×	64 0.5×	251 4.6×	5 0.1×	62 1.4×	11	436
J. L. V. Lewandowski United States	11	23 0.2×	46 0.4×	30 0.5×	9 0.2×	21 0.5×	41	402
C. H. Liu United States	5	9 0.1×	90 0.7×	61 1.1×	17 0.3×	165 3.8×	7	341
Koichi Miyamoto Japan	12	12 0.1×	17 0.1×	26 0.5×	24 0.5×	40 0.9×	39	337
C. Adams United States	6	25 0.2×	21 0.2×	13 0.2×	4 0.1×	68 1.6×	9	166
R. Sobie Canada	11	16 0.1×	88 0.7×	4 0.1×	60 1.2×	119 2.8×	35	387
Toshio Shimada Japan	10	96 0.7×	79 0.6×	81 1.5×	1 0.0×	19 0.4×	48	287
Edoardo Di Napoli Germany	8	29 0.2×	12 0.1×	20 0.4×	3 0.1×	96 2.2×	25	240
S. Cabasino Italy	13	27 0.2×	33 0.3×	33 0.6×	3 0.1×	19 0.4×	27	425

Countries citing papers authored by Ikuo Miyoshi

Since Specialization

Citations

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

Fields of papers citing papers by Ikuo Miyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Miyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Miyoshi. A scholar is included among the top collaborators of Ikuo Miyoshi 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 Ikuo Miyoshi. Ikuo Miyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Ishikawa, Ken-Ichi, Hideo Matsufuru, Ikuo Miyoshi, et al.. (2022). 102 PFLOPS lattice QCD quark solver on Fugaku. Computer Physics Communications. 282. 108510–108510. 7 indexed citations

Sato, Mitsuhisa, Yutaka Ishikawa, Hirofumi Tomita, et al.. (2020). Co-Design for A64FX Manycore Processor and ”Fugaku”. 1–15. 56 indexed citations

Inadomi⋆, Yuichi, Tapasya Patki, Koji Inoue, et al.. (2015). Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing. 1–12. 78 indexed citations

Iwata, Junichi, Miwako Tsuji, Daisuke Takahashi, et al.. (2013). Performance evaluation of ultra-large-scale first-principles electronic structure calculation code on the K computer. The International Journal of High Performance Computing Applications. 28(3). 335–355. 36 indexed citations

Idomura, Yasuhiro, M. Nakata, Susumu Yamada, et al.. (2013). Communication-overlap techniques for improved strong scaling of gyrokinetic Eulerian code beyond 100k cores on the K-computer. The International Journal of High Performance Computing Applications. 28(1). 73–86. 21 indexed citations

Idomura, Yasuhiro, M. Nakata, Susumu Yamada, et al.. (2012). Abstract: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer. 50. 1373–1374. 10 indexed citations

Idomura, Yasuhiro, M. Nakata, Susumu Yamada, et al.. (2012). Poster: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer. 179. 1375–1376. 1 indexed citations

Maki, Jun, Makoto Yoshida, Yuichiro Ajima, et al.. (2011). NSIM: An Interconnection Network Simulator for Extreme-Scale Parallel Computers. IEICE Transactions on Information and Systems. E94-D(12). 2298–2308. 1 indexed citations

Iwata, Junichi, Miwako Tsuji, Daisuke Takahashi, et al.. (2011). First-principles calculations of electron states of a silicon nanowire with 100,000 atoms on the K computer. 1–11. 56 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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