K. Hachimura
Impact in
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- Human Pose and Action Recognition
- Video Analysis and Summarization
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- Control and Systems Engineering top 10%
- Human Motion and Animation
Papers in
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- Human Pose and Action Recognition 5
- Video Analysis and Summarization 3
- Image Retrieval and Classification Techniques 3
- Advanced Image and Video Retrieval Techniques 2
- Handwritten Text Recognition Techniques 1
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- Human Motion and Animation 7
- Co-authors
- M. Kuwahara (2 shared papers)Masahiko Kinoshita (1 shared paper)Shigeru Eiho (2 shared papers)Hirokazu Kato (1 shared paper)Hideyuki Tamura (1 shared paper)Masako Kinoshita (1 shared paper)
- Journals
- The Journal of The Institute of Image Information and Television Engineers (1 paper)PubMed (1 paper)
- Partner nations
- Japan
In The Last Decade
K. Hachimura
10 papers receiving 381 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 282
- Control and Systems Engineering 150
- Human-Computer Interaction 33
- Computer Graphics and Computer-Aided Design 16
- Media Technology 31
Countries citing papers authored by K. Hachimura
This map shows the geographic impact of K. Hachimura'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 K. Hachimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Hachimura more than expected).
Fields of papers citing papers by K. Hachimura
This network shows the impact of papers produced by K. Hachimura. 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 K. Hachimura. The network helps show where K. Hachimura may publish in the future.
Co-authors
The 6 scholars most cited alongside K. Hachimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 194 | |
| 2 | 2002 | 48 | |
| 3 | 2005 | 43 | |
| 4 | 2003 | 42 | |
| 5 | 2006 | 36 | |
| 6 | 1996 | 13 | |
| 7 | 2005 | 11 | |
| 8 | 2008 | 10 | |
| 9 | 2006 | 4 | |
| 10 | 2002 | 4 | |
| 11 | [Nonlinear digital filtering of medical RI-images (author's transl)]. | 1977 | 0 |
| 12 | 2003 | 0 |
About K. Hachimura
K. Hachimura is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 12 papers that have together received 405 indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), Human Pose and Action Recognition (5 papers), Video Analysis and Summarization (3 papers), Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Elasticity and Material Modeling (1 paper), Hand Gesture Recognition Systems (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (282 citations), Control and Systems Engineering (150 citations), Human-Computer Interaction (33 citations), Computer Graphics and Computer-Aided Design (16 citations) and Media Technology (31 citations). K. Hachimura has collaborated with scholars based in Japan. Frequent co-authors include M. Kuwahara, Masahiko Kinoshita, Shigeru Eiho, Hirokazu Kato, Hideyuki Tamura and Masako Kinoshita. Their work appears in journals such as The Journal of The Institute of Image Information and Television Engineers and PubMed.
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.