M. Tanimoto
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Computer Graphics and Computer-Aided Design top 10%
- Media Technology
- Co-authors
- Toshiaki FujiiTomohiro YendoMasaki WadaHideaki KimataYoshiyuki YashimaM. KitaharaKazuto KamikuraKo Yamamoto
- Topics
- Advanced Vision and Imaging (8 papers)Video Coding and Compression Technologies (5 papers)Robotics and Automated Systems (4 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on CommunicationsIEEE Transactions on Circuits and Systems for Video TechnologyProgress of Theoretical Physics
- Partner nations
- Japan
In The Last Decade
M. Tanimoto
21 papers receiving 291 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 239
- Signal Processing 142
- Electrical and Electronic Engineering 48
- Computer Graphics and Computer-Aided Design 27
- Media Technology 23
Countries citing papers authored by M. Tanimoto
This map shows the geographic impact of M. Tanimoto'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 M. Tanimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Tanimoto more than expected).
Fields of papers citing papers by M. Tanimoto
This network shows the impact of papers produced by M. Tanimoto. 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 M. Tanimoto. The network helps show where M. Tanimoto may publish in the future.
Co-authorship network of co-authors of M. Tanimoto
This figure shows the co-authorship network connecting the top 25 collaborators of M. Tanimoto. A scholar is included among the top collaborators of M. Tanimoto 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 M. Tanimoto. M. Tanimoto 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 | 11 | |
| 3 | 24 | |
| 4 | 83 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 44 | |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | A new bandwidth compression system of picture signals - The TAT | 3 |
About M. Tanimoto
M. Tanimoto is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 312 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Video Coding and Compression Technologies (5 papers) and Robotics and Automated Systems (4 papers). The work is most often cited by research in Signal Processing (142 citations), Computer Vision and Pattern Recognition (239 citations) and Computer Graphics and Computer-Aided Design (27 citations). M. Tanimoto has collaborated with scholars based in Japan. Frequent co-authors include Toshiaki Fujii, Tomohiro Yendo, Masaki Wada, Hideaki Kimata, Yoshiyuki Yashima, M. Kitahara, Kazuto Kamikura, Ko Yamamoto, Shinya Shimizu and Mehrdad Panahpour Tehrani. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Circuits and Systems for Video Technology and Progress of Theoretical Physics.
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.