Shoichiro Saito
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Control and Systems Engineering
- Co-authors
- Yuma KoizumiNoboru HaradaHisashi UematsuKeisuke ImotoMasahiro YasudaRyo MasumuraKyosuke NishidaYasunori Ohishi
- Topics
- Speech and Audio Processing (14 papers)Music and Audio Processing (14 papers)Anomaly Detection Techniques and Applications (7 papers)
- Journals
- Journal of Computer Assisted TomographyApplied AcousticsJournal of the Audio Engineering Society
- Partner nations
- Japan
In The Last Decade
Shoichiro Saito
23 papers receiving 349 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 211
- Artificial Intelligence 181
- Computer Vision and Pattern Recognition 81
- Civil and Structural Engineering 49
- Control and Systems Engineering 41
Countries citing papers authored by Shoichiro Saito
This map shows the geographic impact of Shoichiro Saito'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 Shoichiro Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoichiro Saito more than expected).
Fields of papers citing papers by Shoichiro Saito
This network shows the impact of papers produced by Shoichiro Saito. 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 Shoichiro Saito. The network helps show where Shoichiro Saito may publish in the future.
Co-authorship network of co-authors of Shoichiro Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Shoichiro Saito. A scholar is included among the top collaborators of Shoichiro Saito 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 Shoichiro Saito. Shoichiro Saito 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 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 33 | |
| 11 | 1 | |
| 12 | 110 | |
| 13 | 28 | |
| 14 | 0 | |
| 15 | 48 | |
| 16 | New Recording Application for Software Defined Media | 1 |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 7 |
About Shoichiro Saito
Shoichiro Saito is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 363 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Music and Audio Processing (14 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Signal Processing (211 citations), Artificial Intelligence (181 citations) and Computer Vision and Pattern Recognition (81 citations). Shoichiro Saito has collaborated with scholars based in Japan. Frequent co-authors include Yuma Koizumi, Noboru Harada, Hisashi Uematsu, Keisuke Imoto, Masahiro Yasuda, Ryo Masumura, Kyosuke Nishida, Yasunori Ohishi, Keiichi Matsuura and Yuji Numaguchi. Their work appears in journals such as Journal of Computer Assisted Tomography, Applied Acoustics and Journal of the Audio Engineering Society.
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.