Yusuke Matsunaga

224 total papers · 1.5k total citations
90 papers, 994 citations indexed

About

Yusuke Matsunaga is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Yusuke Matsunaga has authored 90 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hardware and Architecture, 43 papers in Electrical and Electronic Engineering and 26 papers in Computational Theory and Mathematics. Recurrent topics in Yusuke Matsunaga's work include VLSI and Analog Circuit Testing (24 papers), VLSI and FPGA Design Techniques (24 papers) and Formal Methods in Verification (21 papers). Yusuke Matsunaga is often cited by papers focused on VLSI and Analog Circuit Testing (24 papers), VLSI and FPGA Design Techniques (24 papers) and Formal Methods in Verification (21 papers). Yusuke Matsunaga collaborates with scholars based in Japan, United States and Netherlands. Yusuke Matsunaga's co-authors include Masahiro Fujita, Hiroyuki Higuchi, Manabu Ishikawa, Shunsuke Koshio, Shin‐ichi Teshima, Atsuhiko Matsunaga, Manae Harada, Tomi Ohtsuki, Atsushi Yoshida and Takaaki Watanabe and has published in prestigious journals such as Journal of Clinical Oncology, Aquaculture and American Journal of Kidney Diseases.

In The Last Decade

Yusuke Matsunaga

82 papers receiving 940 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yusuke Matsunaga 431 419 393 182 137 90 994
Alexander Rabinovich 23 0.1× 444 1.1× 53 0.1× 89 0.5× 367 2.7× 84 863
K. Singhal 96 0.2× 121 0.3× 582 1.5× 6 0.0× 62 0.5× 56 1.2k
David Y. Y. Yun 92 0.2× 477 1.1× 156 0.4× 12 0.1× 315 2.3× 101 1.0k
Enes Pašalić 94 0.2× 193 0.5× 478 1.2× 43 0.2× 961 7.0× 108 1.2k
Jodi Gray 150 0.3× 74 0.2× 119 0.3× 161 0.9× 105 0.8× 51 1.1k
Sachin Garg 38 0.1× 15 0.0× 54 0.1× 96 0.5× 114 0.8× 49 1.0k
N.J. Dimopoulos 157 0.4× 32 0.1× 118 0.3× 5 0.0× 116 0.8× 118 814
Matthew Might 184 0.4× 210 0.5× 14 0.0× 167 0.9× 398 2.9× 80 1.0k
Ling Zhuo 531 1.2× 319 0.8× 290 0.7× 70 0.5× 34 899
Ziyu Guo 215 0.5× 13 0.0× 273 0.7× 5 0.0× 98 0.7× 70 961

Countries citing papers authored by Yusuke Matsunaga

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Matsunaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Matsunaga

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

All Works

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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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