Takashi Fuse
- Electrical and Electronic Engineering
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Building and Construction top 10%
- Co-authors
- Mitsuhiro KatayamaKenjiro OuraToru SeoShigeru MORICHIAlessandro AraldiH. OhtakeSeiji SamukawaGiovanni Fusco
- Topics
- Semiconductor materials and devices (12 papers)Ion-surface interactions and analysis (11 papers)Advanced Vision and Imaging (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Surface ScienceSurface Science
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takashi Fuse
63 papers receiving 359 citations
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 113
- Materials Chemistry 77
- Computer Vision and Pattern Recognition 60
- Atomic and Molecular Physics, and Optics 48
- Building and Construction 48
Countries citing papers authored by Takashi Fuse
This map shows the geographic impact of Takashi Fuse'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 Takashi Fuse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Fuse more than expected).
Fields of papers citing papers by Takashi Fuse
This network shows the impact of papers produced by Takashi Fuse. 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 Takashi Fuse. The network helps show where Takashi Fuse may publish in the future.
Co-authorship network of co-authors of Takashi Fuse
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Fuse. A scholar is included among the top collaborators of Takashi Fuse 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 Takashi Fuse. Takashi Fuse 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 | 1 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | Study on Train Scheduling to Minimize Trip Time of Passengers under Restricted Electrical Energy Use | 2 |
| 15 | 4 | |
| 16 | Verification of a New Location Referencing Method | 1 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 3 |
About Takashi Fuse
Takashi Fuse is a scholar working on Transportation, Computer Vision and Pattern Recognition and Surfaces, Coatings and Films, having authored 73 papers that have together received 385 indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Ion-surface interactions and analysis (11 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Transportation (26 citations), Building and Construction (48 citations) and Geology (18 citations). Takashi Fuse has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Mitsuhiro Katayama, Kenjiro Oura, Toru Seo, Shigeru MORICHI, Alessandro Araldi, H. Ohtake, Seiji Samukawa, Giovanni Fusco, Shinji Sato and Takenori Shimozono. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Surface Science.
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.