M. Yasuhara
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Media Technology top 10%
- Control and Systems Engineering
- Topics
- Handwritten Text Recognition Techniques (16 papers)Image Processing and 3D Reconstruction (11 papers)Hand Gesture Recognition Systems (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on CommunicationsIEEE Transactions on Circuits and Systems
- Partner nations
- JapanMexicoUnited States
In The Last Decade
M. Yasuhara
20 papers receiving 257 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 218
- Artificial Intelligence 80
- Human-Computer Interaction 69
- Media Technology 35
- Control and Systems Engineering 25
Countries citing papers authored by M. Yasuhara
This map shows the geographic impact of M. Yasuhara'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. Yasuhara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Yasuhara more than expected).
Fields of papers citing papers by M. Yasuhara
This network shows the impact of papers produced by M. Yasuhara. 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. Yasuhara. The network helps show where M. Yasuhara may publish in the future.
Co-authorship network of co-authors of M. Yasuhara
This figure shows the co-authorship network connecting the top 25 collaborators of M. Yasuhara. A scholar is included among the top collaborators of M. Yasuhara 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. Yasuhara. M. Yasuhara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 41 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | Extracting Control Pulses of Handwriting Movement:Toward an Active Recognition of Cursive Handwritten Characters | 1 |
| 15 | 8 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | [Experimental studies of handwriting process]. | 34 |
| 20 | Steps Toward Handwriting Analysis and Recognition. | 3 |
About M. Yasuhara
M. Yasuhara is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (16 papers), Image Processing and 3D Reconstruction (11 papers) and Hand Gesture Recognition Systems (7 papers). The work is most often cited by research in Human-Computer Interaction (69 citations), Computer Vision and Pattern Recognition (218 citations) and Media Technology (35 citations). M. Yasuhara has collaborated with scholars based in Japan, Mexico and United States. Frequent co-authors include Yuka Kato, Yu Qiao, Mikio Yamamoto, Mariko Nakano-Miyatake, Héctor Pérez-Meana and Karina Toscano. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Communications and IEEE Transactions on Circuits and Systems.
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.