Toshiyuki Maeda
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Materials Chemistry
- Artificial Intelligence
- Surgery
- Co-authors
- Shuji HamadaSeiji KajiharaYasuo SatôMaho NakataMasatomo HashimotoTomomi ShimazakiNobuyoshi KawaharadaTetsuya Higami
- Topics
- Aortic aneurysm repair treatments (11 papers)Aortic Disease and Treatment Approaches (11 papers)Parallel Computing and Optimization Techniques (11 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Toshiyuki Maeda
110 papers receiving 804 citations
Peers
Comparison fields: 5 of 126
- Electrical and Electronic Engineering 249
- Hardware and Architecture 233
- Materials Chemistry 116
- Artificial Intelligence 89
- Surgery 81
Countries citing papers authored by Toshiyuki Maeda
This map shows the geographic impact of Toshiyuki Maeda'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 Toshiyuki Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiyuki Maeda more than expected).
Fields of papers citing papers by Toshiyuki Maeda
This network shows the impact of papers produced by Toshiyuki Maeda. 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 Toshiyuki Maeda. The network helps show where Toshiyuki Maeda may publish in the future.
Co-authorship network of co-authors of Toshiyuki Maeda
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Maeda. A scholar is included among the top collaborators of Toshiyuki Maeda 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 Toshiyuki Maeda. Toshiyuki Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 56 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | Typed assembly language for implementing OS kernels in SMP/multi-core environments with interrupts | 2 |
| 15 | 1 | |
| 16 | 89 | |
| 17 | Kernel mode Linux | 5 |
| 18 | Automatic depiction of spatial descriptions | 18 |
| 19 | 13 | |
| 20 | LABORATORY AND CLINICAL STUDIES ON CEPHRADINE | 1 |
About Toshiyuki Maeda
Toshiyuki Maeda is a scholar working on Hardware and Architecture, Software and Orthopedics and Sports Medicine, having authored 122 papers that have together received 848 indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (11 papers), Aortic Disease and Treatment Approaches (11 papers) and Parallel Computing and Optimization Techniques (11 papers). The work is most often cited by research in Hardware and Architecture (233 citations), Software (23 citations) and Computational Theory and Mathematics (74 citations). Toshiyuki Maeda has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Shuji Hamada, Seiji Kajihara, Yasuo Satô, Maho Nakata, Masatomo Hashimoto, Tomomi Shimazaki, Nobuyoshi Kawaharada, Tetsuya Higami, Tatsuya Yoshino and Yoshitaka Sasaki. Their work appears in journals such as The Journal of Physical Chemistry, Carbon and Catalysis Today.
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.