Yuetsu Kodama

1.5k total citations
97 papers, 890 citations indexed

About

Yuetsu Kodama is a scholar working on Computer Networks and Communications, Hardware and Architecture and Condensed Matter Physics. According to data from OpenAlex, Yuetsu Kodama has authored 97 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Networks and Communications, 50 papers in Hardware and Architecture and 20 papers in Condensed Matter Physics. Recurrent topics in Yuetsu Kodama's work include Parallel Computing and Optimization Techniques (49 papers), Interconnection Networks and Systems (29 papers) and Distributed and Parallel Computing Systems (23 papers). Yuetsu Kodama is often cited by papers focused on Parallel Computing and Optimization Techniques (49 papers), Interconnection Networks and Systems (29 papers) and Distributed and Parallel Computing Systems (23 papers). Yuetsu Kodama collaborates with scholars based in Japan, United States and United Kingdom. Yuetsu Kodama's co-authors include Mitsuhisa Sato, Shuichi Sakai, Yoshinori Yamaguchi, Kazuo Hiraki, Toshitsugu Yuba, Akira Iyo, Y. Tanaka, Andrew Sohn, Miwako Tsuji and Taisuke Boku and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

Yuetsu Kodama

88 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuetsu Kodama Japan 17 559 515 135 86 86 97 890
Mark Giampapa United States 15 696 1.2× 573 1.1× 10 0.1× 143 1.7× 39 0.5× 22 922
Paul Messina United States 15 389 0.7× 277 0.5× 16 0.1× 83 1.0× 10 0.1× 39 708
Karen Tomko United States 15 326 0.6× 397 0.8× 62 0.5× 68 0.8× 11 0.1× 57 675
Jean‐François Méhaut France 16 361 0.6× 317 0.6× 22 0.2× 137 1.6× 5 0.1× 59 596
Erich Strohmaier United States 13 678 1.2× 607 1.2× 11 0.1× 233 2.7× 10 0.1× 39 941
А. А. Логинов Russia 10 242 0.4× 316 0.6× 11 0.1× 122 1.4× 24 0.3× 51 606
D. Chen United States 5 419 0.7× 301 0.6× 5 0.0× 70 0.8× 38 0.4× 8 554
Neena Imam United States 10 160 0.3× 110 0.2× 31 0.2× 98 1.1× 10 0.1× 54 385
Filippo Mantovani Spain 15 201 0.4× 174 0.3× 73 0.5× 55 0.6× 3 0.0× 53 558
Maxim Naumov United States 11 154 0.3× 154 0.3× 26 0.2× 103 1.2× 5 0.1× 26 678

Countries citing papers authored by Yuetsu Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Yuetsu Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuetsu Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Yuetsu Kodama. A scholar is included among the top collaborators of Yuetsu Kodama 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 Yuetsu Kodama. Yuetsu Kodama 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.
Kodama, Yuetsu, et al.. (2024). Fine structural analysis of red beryl from Utah, USA using anomalous X-ray scattering. Journal of Crystal Growth. 650. 127943–127943. 1 indexed citations
2.
Domke, Jens, Balazs Gerofi, Yuetsu Kodama, et al.. (2023). At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Transactions on Architecture and Code Optimization. 20(4). 1–26. 1 indexed citations
3.
Kodama, Yuetsu, et al.. (2020). Preliminary Performance Evaluation of the Fujitsu A64FX Using HPC Applications. 523–530. 20 indexed citations
4.
Nakao, Masahiro, K. Ueno, Katsuki Fujisawa, Yuetsu Kodama, & Mitsuhisa Sato. (2020). Performance Evaluation of Supercomputer Fugaku using Breadth-First Search Benchmark in Graph500. 408–409. 14 indexed citations
5.
Kodama, Yuetsu, et al.. (2011). Imbalance of CPU temperatures in a blade system and its impact for power consumption of fans. Cluster Computing. 16(1). 27–37. 12 indexed citations
6.
Shirage, Parasharam M., Akira Iyo, D. D. Shivagan, et al.. (2008). Critical current densities and irreversibility fields of a HgBa2Can−1CunO2n+2+δ sample containing n=6–15 phases. Physica C Superconductivity. 468(15-20). 1287–1290. 8 indexed citations
7.
Iyo, Akira, Y. Tanaka, H. Kitô, et al.. (2008). Material synthesis of HgBa2Can-1CunOymultilayered cuprates under high pressure. Journal of Physics Conference Series. 108. 12046–12046. 2 indexed citations
8.
Shimizu, Sunao, Hidekazu Mukuda, Yasuo Kitaoka, et al.. (2007). Uniform Mixing of Antiferromagnetism and High-Temperature Superconductivity in Electron-Doped Layers of Four-LayeredBa2Ca3Cu4O8F2: A New Phenomenon in an Electron Underdoped Regime. Physical Review Letters. 98(25). 257002–257002. 21 indexed citations
9.
Guillier, Romaric, et al.. (2006). A study of large flow interactions in high-speed shared networks with Grid5000 and GtrcNET-10 instruments. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
10.
Kawamura, T., et al.. (2005). Direct numerical simulations of a single bubble rising in still water. Journal of Engineering Thermophysics. 26(6). 980–982. 2 indexed citations
11.
Sakai, Shuichi, Hiroshi Matsuoka, Yuetsu Kodama, et al.. (2002). RICA: Reduced Interprocessor-Communication Architecture -concept and mechanisms. 122–125.
12.
Kodama, Yuetsu, et al.. (1997). Parallel execution of radix sort program using fine-grain communication. International Conference on Parallel Architectures and Compilation Techniques. 136–145. 1 indexed citations
13.
Kodama, Yuetsu, et al.. (1996). Message-based efficient remote memory access on a highly parallel computer EM-X. IEICE Transactions on Information and Systems. 79(8). 1065–1071. 3 indexed citations
14.
Yamana, Hayato, et al.. (1995). A macrotask-level unlimited speculative execution on multiprocessors. 328–337. 1 indexed citations
15.
Kodama, Yuetsu, Shuichi Sakai, & Yoshinori Yamaguchi. (1992). A prototype of a highly parallel dataflow machine EM-4 and its preliminary evaluation. Future Generation Computer Systems. 7(2-3). 199–209. 13 indexed citations
16.
Sakai, Shuichi, et al.. (1991). Design and Implementation of a Versatile Interconnection Network in the EM-4.. Proceedings of the International Conference on Parallel Processing. 426–430. 2 indexed citations
17.
Kodama, Yuetsu. (1990). A method of estimating the elastic modulus of wood with variable cross-section forms by sound velocity I. Application for logs.. Journal of the Japan Wood Research Society. 36(11). 997–1003. 1 indexed citations
18.
Yamaguchi, Yoshinori, Shuichi Sakai, Kei Hiraki, & Yuetsu Kodama. (1989). An Architectural Disgn of a Highly Parallel Dataflow Machine.. IFIP Congress. 9(11). 1155–1160. 6 indexed citations
19.
Sakai, Shuichi, Yoshinori Yamaguchi, Kazuo Hiraki, Yuetsu Kodama, & Toshitsugu Yuba. (1989). An architecture of a dataflow single chip processor. ACM SIGARCH Computer Architecture News. 17(3). 46–53. 6 indexed citations
20.
Kodama, Yuetsu, et al.. (1986). NUMERICAL SIMULATION OF FLOW CONTROLLED BY MHD EFFECT--2-D LAMINAR FLOW.

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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