Yuya Maruyama
Impact in
- Hardware and Architecture top 5%
- Real-Time Systems Scheduling
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Kruppel-like factors research 1
-
- Gastric Cancer Management and Outcomes 3
- Co-authors
- Shinpei Kato (4 shared papers)Takuya Azumi (4 shared papers)Yuki Kitsukawa (1 shared paper)Abraham Monrroy (1 shared paper)Yusuke Fujii (1 shared paper)Manato Hirabayashi (1 shared paper)T. Kodama (1 shared paper)Katsuhisa Tanaka (2 shared papers)
- Journals
- Scientific Reports (1 paper)Journal of materials research/Pratt's guide to venture capital sources (1 paper)Immunity (1 paper)BMC Surgery (1 paper)Esophagus (1 paper)
- Partner nations
- Japan
In The Last Decade
Yuya Maruyama
12 papers receiving 673 citations
Yuya Maruyama's Hit Papers
Peers
Comparison fields: 5 of 65
- Hardware and Architecture 162
- Automotive Engineering 191
- Computer Vision and Pattern Recognition 204
- Software 36
- Computer Networks and Communications 175
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 | 396 |
| 2 | 2016 | 219 | |
| 3 | 2020 | 21 | |
| 4 | 2017 | 20 | |
| 5 | 2013 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 2025 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2012 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2005 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2013 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2004 | 0 | |
| 17 | 2016 | 0 |
About Yuya Maruyama
Yuya Maruyama is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Hardware and Architecture and Immunology, having authored 17 papers that have together received 695 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (3 papers), Magnetic and transport properties of perovskites and related materials (2 papers), Multiferroics and related materials (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), interferon and immune responses (2 papers), Kruppel-like factors research (1 paper), Distributed and Parallel Computing Systems (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Hardware and Architecture (162 citations), Automotive Engineering (191 citations), Computer Vision and Pattern Recognition (204 citations), Software (36 citations) and Computer Networks and Communications (175 citations). Yuya Maruyama has collaborated with scholars based in Japan. Frequent co-authors include Shinpei Kato, Takuya Azumi, Yuki Kitsukawa, Abraham Monrroy, Yusuke Fujii, Manato Hirabayashi, T. Kodama, Katsuhisa Tanaka, Koji Fujita and Yanhua Zong. Their work appears in journals such as Scientific Reports, Journal of materials research/Pratt's guide to venture capital sources, Immunity, BMC Surgery and Esophagus.
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.