Hisashi Uematsu
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Civil and Structural Engineering
- Co-authors
- Shoichiro SaitoYuma KoizumiNoboru HaradaKeisuke ImotoTatsuya HiraharaIwaki ToshimaMakio KashinoMasaharu Kato
- Topics
- Speech and Audio Processing (5 papers)Music and Audio Processing (5 papers)Anomaly Detection Techniques and Applications (5 papers)
- Journals
- Journal of Physical Therapy ScienceIEICE Transactions on Fundamentals of Electronics Communications and Computer SciencesNippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi
- Partner nations
- JapanUnited States
In The Last Decade
Hisashi Uematsu
14 papers receiving 305 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 192
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 58
- Cognitive Neuroscience 45
- Civil and Structural Engineering 44
Countries citing papers authored by Hisashi Uematsu
This map shows the geographic impact of Hisashi Uematsu'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 Hisashi Uematsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hisashi Uematsu more than expected).
Fields of papers citing papers by Hisashi Uematsu
This network shows the impact of papers produced by Hisashi Uematsu. 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 Hisashi Uematsu. The network helps show where Hisashi Uematsu may publish in the future.
Co-authorship network of co-authors of Hisashi Uematsu
This figure shows the co-authorship network connecting the top 25 collaborators of Hisashi Uematsu. A scholar is included among the top collaborators of Hisashi Uematsu 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 Hisashi Uematsu. Hisashi Uematsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 110 | |
| 3 | 28 | |
| 4 | 48 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | Real-Time Sound Field Transmission System by Using Wave Field Reconstruction Filter and Its Subjective Listening Test | 3 |
| 10 | 19 | |
| 11 | 16 | |
| 12 | 6 | |
| 13 | 26 | |
| 14 | 25 | |
| 15 | 0 |
About Hisashi Uematsu
Hisashi Uematsu is a scholar working on Signal Processing, Physical Therapy, Sports Therapy and Rehabilitation and Artificial Intelligence, having authored 15 papers that have together received 319 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Music and Audio Processing (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Signal Processing (192 citations), Artificial Intelligence (155 citations) and Computer Vision and Pattern Recognition (58 citations). Hisashi Uematsu has collaborated with scholars based in Japan and United States. Frequent co-authors include Shoichiro Saito, Yuma Koizumi, Noboru Harada, Keisuke Imoto, Tatsuya Hirahara, Iwaki Toshima, Makio Kashino, Masaharu Kato, Suehiro Shimauchi and Yasunori Ohishi. Their work appears in journals such as Journal of Physical Therapy Science, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi.
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.