Masaru Takeuchi
- Computer Vision and Pattern Recognition top 1%
- Applied Mathematics top 2%
- Geometry and Topology top 2%
- Signal Processing top 5%
- Astronomy and Astrophysics top 10%
- Co-authors
- Jiro KattoZhengxue ChengHeming SunHideki OzekiShôshichi KobayashiHiroo NaitohKenji KanaiYusuke Sakane
- Topics
- Geometric Analysis and Curvature Flows (18 papers)Advanced Data Compression Techniques (13 papers)Geometry and complex manifolds (12 papers)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
Masaru Takeuchi
61 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 910
- Applied Mathematics 382
- Geometry and Topology 363
- Signal Processing 234
- Astronomy and Astrophysics 131
Countries citing papers authored by Masaru Takeuchi
This map shows the geographic impact of Masaru Takeuchi'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 Masaru Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Takeuchi more than expected).
Fields of papers citing papers by Masaru Takeuchi
This network shows the impact of papers produced by Masaru Takeuchi. 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 Masaru Takeuchi. The network helps show where Masaru Takeuchi may publish in the future.
Co-authorship network of co-authors of Masaru Takeuchi
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Takeuchi. A scholar is included among the top collaborators of Masaru Takeuchi 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 Masaru Takeuchi. Masaru Takeuchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Deep Residual Learning for Image Compression | 9 |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Performance Evaluations of Event-driven Rate Adaptation using Multimodal Sensors for Video Surveillance System | 1 |
| 9 | An Annotated Japanese Sign Language Corpus | 8 |
| 10 | A Memory-based Parallel Processor for Vector Quantization | 12 |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 38 |
About Masaru Takeuchi
Masaru Takeuchi is a scholar working on Geometry and Topology, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (18 papers), Advanced Data Compression Techniques (13 papers) and Geometry and complex manifolds (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (910 citations), Geometry and Topology (363 citations) and Applied Mathematics (382 citations). Masaru Takeuchi has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Jiro Katto, Zhengxue Cheng, Heming Sun, Hideki Ozeki, Shôshichi Kobayashi, Hiroo Naitoh, Kenji Kanai, Yusuke Sakane, Ryoichi Takagi and Yoshihiro Ohnita. Their work appears in journals such as IEEE Access, Knowledge-Based Systems and IEEE Transactions on Multimedia.
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.