Shin’ichi Satoh
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Molecular Biology
- Information Systems top 2%
- Co-authors
- Norio KatayamaZheng WangIchiro IkegakiToshio AsanoTakeo KanadeDuy-Dinh LeMasato ShibuyaRajiv Ratn Shah
- Topics
- Advanced Image and Video Retrieval Techniques (123 papers)Video Analysis and Summarization (89 papers)Image Retrieval and Classification Techniques (73 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Shin’ichi Satoh
294 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 2.9k
- Artificial Intelligence 1.1k
- Signal Processing 819
- Molecular Biology 571
- Information Systems 416
Countries citing papers authored by Shin’ichi Satoh
This map shows the geographic impact of Shin’ichi Satoh'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 Shin’ichi Satoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin’ichi Satoh more than expected).
Fields of papers citing papers by Shin’ichi Satoh
This network shows the impact of papers produced by Shin’ichi Satoh. 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 Shin’ichi Satoh. The network helps show where Shin’ichi Satoh may publish in the future.
Co-authorship network of co-authors of Shin’ichi Satoh
This figure shows the co-authorship network connecting the top 25 collaborators of Shin’ichi Satoh. A scholar is included among the top collaborators of Shin’ichi Satoh 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 Shin’ichi Satoh. Shin’ichi Satoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 47 | |
| 14 | 7 | |
| 15 | NII-HITACHI-UIT at TRECVID 2016. | 4 |
| 16 | Instance Video Search by Images as a Query | 1 |
| 17 | NTT Communication Science Laboratories and National Institute of Informatics at TRECVID 2012 Instance Search and Multimedia Event Detection Tasks. | 4 |
| 18 | Improvement of face Identification by using Image Sequence | 0 |
| 19 | A New Type of Video Scene Classification System Based on Typical Model Database | 5 |
| 20 | A matrix grammar for the document processing | 4 |
About Shin’ichi Satoh
Shin’ichi Satoh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 319 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (123 papers), Video Analysis and Summarization (89 papers) and Image Retrieval and Classification Techniques (73 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Signal Processing (819 citations) and Artificial Intelligence (1.1k citations). Shin’ichi Satoh has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Norio Katayama, Zheng Wang, Ichiro Ikegaki, Toshio Asano, Takeo Kanade, Duy-Dinh Le, Masato Shibuya, Rajiv Ratn Shah, Yoshio Suzuki and Ponnurangam Kumaraguru. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Stroke and Brain Research.
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.