Atsuya Uno

1.8k total citations
34 papers, 1.3k citations indexed

About

Atsuya Uno is a scholar working on Computer Networks and Communications, Computational Mechanics and Hardware and Architecture. According to data from OpenAlex, Atsuya Uno has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 11 papers in Computational Mechanics and 11 papers in Hardware and Architecture. Recurrent topics in Atsuya Uno's work include Parallel Computing and Optimization Techniques (11 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Distributed and Parallel Computing Systems (8 papers). Atsuya Uno is often cited by papers focused on Parallel Computing and Optimization Techniques (11 papers), Fluid Dynamics and Turbulent Flows (10 papers) and Distributed and Parallel Computing Systems (8 papers). Atsuya Uno collaborates with scholars based in Japan, United States and China. Atsuya Uno's co-authors include Mitsuo Yokokawa, Yukio Kaneda, Takashi Ishihara, Ken-ichi Itakura, Takeshi Sakaguchi, Sadayuki Tsugawa, Fumiyoshi Shoji, Tadashi Watanabe, Shin Kato and Keiichi Itakura and has published in prestigious journals such as Journal of Fluid Mechanics, Physics of Fluids and Journal of the Physical Society of Japan.

In The Last Decade

Atsuya Uno

34 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atsuya Uno Japan 16 682 247 191 177 166 34 1.3k
Brian Argrow United States 24 644 0.9× 211 0.9× 355 1.9× 271 1.5× 194 1.2× 124 1.9k
Michael J. Aftosmis United States 32 2.8k 4.1× 190 0.8× 101 0.5× 139 0.8× 130 0.8× 124 3.4k
Mario A. Storti Argentina 20 772 1.1× 65 0.3× 30 0.2× 23 0.1× 92 0.6× 129 1.6k
S. Woodruff United States 17 291 0.4× 118 0.5× 59 0.3× 33 0.2× 39 0.2× 63 1.3k
Zahari Zlatev Denmark 23 471 0.7× 397 1.6× 588 3.1× 319 1.8× 10 0.1× 138 2.0k
Roberto Furfaro United States 26 213 0.3× 41 0.2× 138 0.7× 45 0.3× 805 4.8× 216 2.6k
Barry Koren Netherlands 19 1.4k 2.1× 541 2.2× 178 0.9× 80 0.5× 52 0.3× 113 2.2k
Eric J. Nielsen United States 26 2.3k 3.4× 143 0.6× 103 0.5× 129 0.7× 13 0.1× 114 2.8k
Arthur Rizzi Sweden 22 1.4k 2.1× 83 0.3× 58 0.3× 271 1.5× 325 2.0× 158 2.1k
Serge Gratton France 21 432 0.6× 56 0.2× 159 0.8× 137 0.8× 44 0.3× 92 1.3k

Countries citing papers authored by Atsuya Uno

Since Specialization
Citations

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

Fields of papers citing papers by Atsuya Uno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuya Uno

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuya Uno. A scholar is included among the top collaborators of Atsuya Uno 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 Atsuya Uno. Atsuya Uno 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.
Tsujita, Yuichi, et al.. (2022). Classifying jobs towards power-aware HPC system operation through long-term log analysis. Array. 15. 100179–100179. 1 indexed citations
2.
Tsujita, Yuichi, et al.. (2021). Job Classification Through Long-Term Log Analysis Towards Power-Aware HPC System Operation. 26–34. 3 indexed citations
3.
Tsujita, Yuichi, et al.. (2018). Improving Collective MPI-IO Using Topology-Aware Stepwise Data Aggregation with I/O Throttling. 12–23. 4 indexed citations
4.
Ishihara, Takashi, et al.. (2016). Vortex Clusters and Their Time Evolution in High- Reynolds-Number Turbulence. Bulletin of the American Physical Society. 1 indexed citations
5.
Ishihara, Takashi, et al.. (2016). Energy spectrum in high-resolution direct numerical simulations of turbulence. Physical Review Fluids. 1(8). 72 indexed citations
6.
Yamamoto, Keiji, Atsuya Uno, Fumiyoshi Shoji, et al.. (2014). The K computer Operations: Experiences and Statistics. Procedia Computer Science. 29. 576–585. 17 indexed citations
7.
Takahashi, Daisuke, Atsuya Uno, & Mitsuo Yokokawa. (2012). An Implementation of Parallel 1-D FFT on the K Computer. 56. 344–350. 5 indexed citations
8.
Yokokawa, Mitsuo, et al.. (2011). The K computer: Japanese next-generation supercomputer development project. 371–372. 42 indexed citations
9.
Yokokawa, Mitsuo, et al.. (2011). The K computer: Japanese next-generation supercomputer development project. 371–372. 49 indexed citations
10.
Ishihara, Takashi, et al.. (2007). Small-scale statistics in high-resolution direct numerical simulation of turbulence: Reynolds number dependence of one-point velocity gradient statistics. Journal of Fluid Mechanics. 592. 335–366. 177 indexed citations
11.
Ishihara, Takashi, Yukio Kaneda, Mitsuo Yokokawa, Ken-ichi Itakura, & Atsuya Uno. (2005). Energy Spectrum in the Near Dissipation Range of High Resolution Direct Numerical Simulation of Turbulence. Journal of the Physical Society of Japan. 74(5). 1464–1471. 29 indexed citations
12.
Aoyama, Tomohiro, Takashi Ishihara, Yukio Kaneda, et al.. (2005). Statistics of Energy Transfer in High-Resolution Direct Numerical Simulation of Turbulence in a Periodic Box. Journal of the Physical Society of Japan. 74(12). 3202–3212. 40 indexed citations
13.
Itakura, Keiichi, Atsuya Uno, Mitsuo Yokokawa, Takashi Ishihara, & Yukio Kaneda. (2004). Scalability of hybrid programming for a CFD code on the Earth Simulator. Parallel Computing. 30(12). 1329–1343. 5 indexed citations
14.
Itakura, Ken-ichi, Atsuya Uno, Mitsuo Yokokawa, et al.. (2003). Performance tuning of a CFD code on the Earth Simulator. 44(1). 115–119. 1 indexed citations
15.
Kaneda, Yukio, Takashi Ishihara, Mitsuo Yokokawa, Ken-ichi Itakura, & Atsuya Uno. (2003). Energy dissipation rate and energy spectrum in high resolution direct numerical simulations of turbulence in a periodic box. Physics of Fluids. 15(2). L21–L24. 405 indexed citations
16.
Ishihara, Takashi, Yukio Kaneda, Mitsuo Yokokawa, Ken-ichi Itakura, & Atsuya Uno. (2003). Spectra of Energy Dissipation, Enstrophy and Pressure by High-Resolution Direct Numerical Simulations of Turbulence in a Periodic Box. Journal of the Physical Society of Japan. 72(5). 983–986. 30 indexed citations
17.
Sakaguchi, Takeshi, Atsuya Uno, & Sadayuki Tsugawa. (2002). An algorithm for merging control of vehicles on highways. 3. V15–V16. 6 indexed citations
18.
Uno, Atsuya, Takeshi Sakaguchi, Shin Kato, & Sadayuki Tsugawa. (2000). A Merging Control Algorithm of Automated Vehicles Based on Inter-Vehicle Communications. Transactions of the Society of Instrument and Control Engineers. 36(8). 684–691. 5 indexed citations
19.
Miyao, Mariko, et al.. (1994). Effect of Warm Bathing on Short-term and 24-hour Blood Pressure in Bedridden Elderly Patients.. Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics. 31(11). 849–853. 2 indexed citations
20.
Kuwajima, Iwao, et al.. (1993). The Relation Between Blood Pressure Variation and Daily Physical Activity in Early Morning Surge in Blood Pressure.. Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics. 30(10). 841–848. 17 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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