Hiromitsu Yamada
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Aerospace Engineering
- Signal Processing
- Co-authors
- Kazuhiko YamamotoTaiichi SaitoKazuo ToraichiTakeshi MasudaRyoichi MoriShinji MatsuiTakahiko HoriuchiMasaru Kamada
- Topics
- Medical Image Segmentation Techniques (9 papers)Image Retrieval and Classification Techniques (9 papers)Image and Object Detection Techniques (8 papers)
In The Last Decade
Hiromitsu Yamada
26 papers receiving 315 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 296
- Media Technology 77
- Artificial Intelligence 66
- Aerospace Engineering 17
- Signal Processing 16
Countries citing papers authored by Hiromitsu Yamada
This map shows the geographic impact of Hiromitsu Yamada'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 Hiromitsu Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiromitsu Yamada more than expected).
Fields of papers citing papers by Hiromitsu Yamada
This network shows the impact of papers produced by Hiromitsu Yamada. 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 Hiromitsu Yamada. The network helps show where Hiromitsu Yamada may publish in the future.
Co-authorship network of co-authors of Hiromitsu Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Hiromitsu Yamada. A scholar is included among the top collaborators of Hiromitsu Yamada 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 Hiromitsu Yamada. Hiromitsu Yamada 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 | Automatic Seal Impression Identification Using Three-Dimensional Reference Seals | 0 |
| 3 | Continuous Nonlinearity in Character Recognition (Special Issue on Character Recognition and Document Understanding) | 6 |
| 4 | 1 | |
| 5 | 6 | |
| 6 | Three-Dimensional Measurement Approach for Seal Identification | 4 |
| 7 | Three-dimensional Measurement Approach for Automatic Seal Impression Identification. | 4 |
| 8 | 6 | |
| 9 | 42 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | Stereo Reconstruction through Disparity Space. | 1 |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 4 |
About Hiromitsu Yamada
Hiromitsu Yamada is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Signal Processing, having authored 29 papers that have together received 346 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Image Retrieval and Classification Techniques (9 papers) and Image and Object Detection Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (296 citations), Media Technology (77 citations) and Structural Biology (3 citations). Hiromitsu Yamada has collaborated with scholars based in Japan, Poland and Canada. Frequent co-authors include Kazuhiko Yamamoto, Taiichi Saito, Kazuhiko Yamamoto, Kazuo Toraichi, Takeshi Masuda, Kazuhiko Yamamoto, Ryoichi Mori, Shinji Matsui, Takahiko Horiuchi and Masaru Kamada. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters and Image and Vision Computing.
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.