Takuya Azumi

173 total papers · 1.8k total citations
94 papers, 1.2k citations indexed

About

Takuya Azumi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Takuya Azumi has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Hardware and Architecture, 42 papers in Computer Networks and Communications and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Takuya Azumi's work include Real-Time Systems Scheduling (40 papers), Parallel Computing and Optimization Techniques (26 papers) and Embedded Systems Design Techniques (23 papers). Takuya Azumi is often cited by papers focused on Real-Time Systems Scheduling (40 papers), Parallel Computing and Optimization Techniques (26 papers) and Embedded Systems Design Techniques (23 papers). Takuya Azumi collaborates with scholars based in Japan, United States and Germany. Takuya Azumi's co-authors include Shinpei Kato, Yuya Maruyama, Yusuke Fujii, Nobuhiko Nishio, Manato Hirabayashi, Abraham Monrroy, Yuki Kitsukawa, Hiroshi Ōyama, Hiroaki Takada and Yuqing Yang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems and Journal of Parallel and Distributed Computing.

In The Last Decade

Takuya Azumi

79 papers receiving 1.2k citations

Hit Papers

Autoware on Board: Enabli... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Takuya Azumi 479 432 299 261 241 94 1.2k
Oliver Bringmann 638 1.3× 438 1.0× 235 0.8× 233 0.9× 161 0.7× 205 1.4k
Yair Wiseman 176 0.4× 307 0.7× 318 1.1× 244 0.9× 124 0.5× 82 1.0k
Arvind U. Raghunathan 168 0.4× 392 0.9× 209 0.7× 83 0.3× 453 1.9× 80 1.4k
Chenglie Du 150 0.3× 352 0.8× 253 0.8× 87 0.3× 150 0.6× 98 987
Mohammad-Hashem Haghbayan 261 0.5× 430 1.0× 422 1.4× 85 0.3× 94 0.4× 58 1.1k
Christian Steger 358 0.7× 335 0.8× 93 0.3× 86 0.3× 103 0.4× 262 1.2k
Wontaek Lim 370 0.8× 505 1.2× 280 0.9× 341 1.3× 187 0.8× 32 977
James K. Archibald 201 0.4× 302 0.7× 566 1.9× 61 0.2× 90 0.4× 78 1.4k
Walter Stechele 438 0.9× 233 0.5× 377 1.3× 76 0.3× 65 0.3× 145 1.1k
Chi‐Sheng Shih 274 0.6× 682 1.6× 257 0.9× 45 0.2× 122 0.5× 147 1.3k

Countries citing papers authored by Takuya Azumi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Azumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Azumi

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Azumi. A scholar is included among the top collaborators of Takuya Azumi 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 Takuya Azumi. Takuya Azumi 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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