Hiroshi Sako
Impact in
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- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Image Processing and 3D Reconstruction
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Media Technology top 2%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 20
- Image Retrieval and Classification Techniques 14
- Face and Expression Recognition 6
- Advanced Image and Video Retrieval Techniques 6
- Image Processing and 3D Reconstruction 6
- Image and Object Detection Techniques 5
- Medical Image Segmentation Techniques 3
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- Neural Networks and Applications 7
- Co-authors
- Hiromichi Fujisawa (17 shared papers)Cheng‐Lin Liu (9 shared papers)Kazuki Nakashima (3 shared papers)Changfu Liu (1 shared paper)Hongwei Hao (3 shared papers)Harukuni Ikeda (3 shared papers)Cheng‐Lin Liu (1 shared paper)Masashi Koga (6 shared papers)
In The Last Decade
Hiroshi Sako
41 papers receiving 961 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 870
- Media Technology 226
- Artificial Intelligence 407
- Human-Computer Interaction 59
- Signal Processing 60
Countries citing papers authored by Hiroshi Sako
This map shows the geographic impact of Hiroshi Sako'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 Hiroshi Sako with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Sako more than expected).
Fields of papers citing papers by Hiroshi Sako
This network shows the impact of papers produced by Hiroshi Sako. 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 Hiroshi Sako. The network helps show where Hiroshi Sako may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroshi Sako, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 364 | |
| 2 | 2003 | 217 | |
| 3 | 2004 | 80 | |
| 4 | 2002 | 63 | |
| 5 | 2004 | 42 | |
| 6 | 2005 | 34 | |
| 7 | 2003 | 29 | |
| 8 | 2007 | 25 | |
| 9 | 1999 | 21 | |
| 10 | 2005 | 20 | |
| 11 | 2005 | 16 | |
| 12 | 2004 | 15 | |
| 13 | 2002 | 12 | |
| 14 | 2002 | 10 | |
| 15 | 1996 | 10 | |
| 16 | 2003 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2005 | 9 | |
| 19 | 2004 | 8 | |
| 20 | 2008 | 7 |
About Hiroshi Sako
Hiroshi Sako is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Media Technology and Human-Computer Interaction, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (20 papers), Image Retrieval and Classification Techniques (14 papers), Neural Networks and Applications (7 papers), Face and Expression Recognition (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Processing and 3D Reconstruction (6 papers), Image and Object Detection Techniques (5 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (870 citations), Media Technology (226 citations), Artificial Intelligence (407 citations), Human-Computer Interaction (59 citations) and Signal Processing (60 citations). Hiroshi Sako has collaborated with scholars based in Japan, Ireland and China. Frequent co-authors include Hiromichi Fujisawa, Cheng‐Lin Liu, Kazuki Nakashima, Changfu Liu, Hongwei Hao, Harukuni Ikeda, Cheng‐Lin Liu, Masashi Koga, T Miyatake and M. Seki. Their work appears in journals such as Pattern Recognition, Machine Vision and Applications, International Journal on Document Analysis and Recognition (IJDAR), Pattern Analysis and Applications and Lecture notes in computer 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.