Takuya Azumi

1.8k total citations · 1 hit paper
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 59 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 (41 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 (41 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, Abraham Monrroy, Manato Hirabayashi, 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: Enabling Autonomous Vehicles with Embe... 2018 2026 2020 2023 2018 100 200 300

Peers

Takuya Azumi
Dip Goswami Netherlands
Gang Zeng Japan
Y. Charlie Hu United States
Takuya Azumi
Citations per year, relative to Takuya Azumi Takuya Azumi (= 1×) peers Yair Wiseman

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

20 of 20 papers shown
1.
Ōyama, Hiroshi, et al.. (2024). HRMP3+TECS v2: Component Framework for Reliable Multiprocessor Real-time Operating System. Journal of Information Processing. 32(0). 818–828.
3.
Peng, Bo, et al.. (2024). Point Cloud Automatic Annotation Framework for Autonomous Driving. 3063–3070. 3 indexed citations
4.
Peng, Bo, et al.. (2024). AUTOSAR AP and ROS 2 Collaboration Framework. ArXiv.org. 319–326.
6.
Hasegawa, Atsushi, et al.. (2022). CARET: Chain-Aware ROS 2 Evaluation Tool. 1–8. 17 indexed citations
7.
Azumi, Takuya, et al.. (2021). Contention-Free Scheduling Algorithm Using LET Paradigm for Clustered Many-core Processor. 1–4. 3 indexed citations
8.
Hasegawa, Atsushi, et al.. (2021). Autoware_Perf: A tracing and performance analysis framework for ROS 2 applications. Journal of Systems Architecture. 123. 102341–102341. 28 indexed citations
9.
Yoshinaka, Ryo & Takuya Azumi. (2020). Model-Based Development Considering Self-Driving Systems for Many-Core Processors. 337–344. 5 indexed citations
10.
Azumi, Takuya, et al.. (2020). Contention-Free Scheduling for Clustered Many-Core Platform. 1–8. 1 indexed citations
11.
Fujimoto, Hiroshi, et al.. (2020). Mapping Method of MATLAB/Simulink Model for Embedded Many-Core Platform. 182–186. 2 indexed citations
12.
Azumi, Takuya, et al.. (2019). Autoware Toolbox. 8–14. 17 indexed citations
13.
Azumi, Takuya, et al.. (2017). Scheduling parallel and distributed processing for automotive data stream management system. Journal of Parallel and Distributed Computing. 109. 286–300. 15 indexed citations
14.
Yamamoto, Takuro, Hiroshi Ōyama, & Takuya Azumi. (2016). Lightweight Ruby Framework for Improving Embedded Software Efficiency. 71–76. 2 indexed citations
15.
Azumi, Takuya, et al.. (2016). HLBS: Heterogeneous Laxity-Based Scheduling Algorithm for DAG-Based Real-Time Computing. 25. 83–88. 9 indexed citations
16.
Hara–Azumi, Yuko, Takuya Azumi, & Nikil Dutt. (2013). VISA synthesis: Variation-aware Instruction Set Architecture synthesis. 243–248. 2 indexed citations
17.
Azumi, Takuya, Hiroaki Takada, & Hiroshi Ōyama. (2008). A memory allocator for efficient task communications by using RPC channels in an embedded component system. International Conference on Software Engineering. 204–209. 9 indexed citations
18.
Azumi, Takuya, et al.. (2007). A new security framework for embedded component systems. International Conference on Software Engineering. 584–589. 3 indexed citations
19.
Azumi, Takuya, et al.. (2007). A New Specification of Software Components for Embedded Systems. 46–50. 23 indexed citations
20.
Cohen, Michael, et al.. (2002). Networked Speaker Array Streaming Back to Client: the World's Most Expensive Sound Spatializer?. Frontiers in Cardiovascular Medicine. 11. 1319164–1319164. 4 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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