Yuya Maruyama
Impact in
- Hardware and Architecture top 5%
- Real-Time Systems Scheduling
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
-
- interferon and immune responses 2
- T-cell and B-cell Immunology 1
- Co-authors
- Shinpei Kato (4 shared papers)Takuya Azumi (4 shared papers)Seiya Maeda (1 shared paper)Yuki Kitsukawa (1 shared paper)Abraham Monrroy (1 shared paper)Manato Hirabayashi (1 shared paper)Yusuke Fujii (1 shared paper)Hideo Murakami (2 shared papers)
- Journals
- Esophagus (1 paper)BMC Surgery (1 paper)International Journal of Automation Technology (1 paper)Journal of materials research/Pratt's guide to venture capital sources (1 paper)Immunity (1 paper)
- Partner nations
- Japan
In The Last Decade
Yuya Maruyama
14 papers receiving 697 citations
Yuya Maruyama's Hit Papers
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 166
- Automotive Engineering 198
- Computer Vision and Pattern Recognition 211
- Software 38
- Computer Networks and Communications 177
Countries citing papers authored by Yuya Maruyama
This map shows the geographic impact of Yuya Maruyama'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 Yuya Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuya Maruyama more than expected).
Fields of papers citing papers by Yuya Maruyama
This network shows the impact of papers produced by Yuya Maruyama. 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 Yuya Maruyama. The network helps show where Yuya Maruyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuya Maruyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Autoware on Board: Enabling Autonomous Vehicles with Embedded Systems Hit paper breakdown → | 2018 | 408 |
| 2 | 2016 | 225 | |
| 3 | 2020 | 21 | |
| 4 | 2017 | 20 | |
| 5 | 2021 | 15 | |
| 6 | 2013 | 15 | |
| 7 | 2025 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2012 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2013 | 1 | |
| 13 | 2005 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2004 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2016 | 0 |
About Yuya Maruyama
Yuya Maruyama is a scholar working on Hardware and Architecture, Immunology, Computer Networks and Communications, Molecular Biology and Automotive Engineering, having authored 17 papers that have together received 720 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Multiferroics and related materials (2 papers), Magnetic and transport properties of perovskites and related materials (2 papers), Ubiquitin and proteasome pathways (1 paper), Autonomous Vehicle Technology and Safety (1 paper), Flexible and Reconfigurable Manufacturing Systems (1 paper), Context-Aware Activity Recognition Systems (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hardware and Architecture (166 citations), Automotive Engineering (198 citations), Computer Vision and Pattern Recognition (211 citations), Software (38 citations) and Computer Networks and Communications (177 citations). Yuya Maruyama has collaborated with scholars based in Japan. Frequent co-authors include Shinpei Kato, Takuya Azumi, Seiya Maeda, Yuki Kitsukawa, Abraham Monrroy, Manato Hirabayashi, Yusuke Fujii, Hideo Murakami, Shunsuke Murai and Yanhua Zong. Their work appears in journals such as Esophagus, BMC Surgery, International Journal of Automation Technology, Journal of materials research/Pratt's guide to venture capital sources and Immunity.
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.