Shota Horiguchi
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Kenji NagamatsuShinji WatanabeYusuke FujitaNaoyuki KandaYawen XueLeibny Paola GarciaKiyoharu AizawaDaiki Ikami
- Topics
- Speech Recognition and Synthesis (30 papers)Speech and Audio Processing (28 papers)Music and Audio Processing (20 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Transactions on Multimedia
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shota Horiguchi
41 papers receiving 836 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 701
- Signal Processing 623
- Computer Vision and Pattern Recognition 113
- Biomedical Engineering 41
- Public Health, Environmental and Occupational Health 29
Countries citing papers authored by Shota Horiguchi
This map shows the geographic impact of Shota Horiguchi'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 Shota Horiguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shota Horiguchi more than expected).
Fields of papers citing papers by Shota Horiguchi
This network shows the impact of papers produced by Shota Horiguchi. 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 Shota Horiguchi. The network helps show where Shota Horiguchi may publish in the future.
Co-authorship network of co-authors of Shota Horiguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Shota Horiguchi. A scholar is included among the top collaborators of Shota Horiguchi 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 Shota Horiguchi. Shota Horiguchi 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 14 | |
| 12 | 11 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | 101 | |
| 16 | 116 | |
| 17 | 126 | |
| 18 | 1 | |
| 19 | 35 | |
| 20 | 1 |
About Shota Horiguchi
Shota Horiguchi is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 879 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (30 papers), Speech and Audio Processing (28 papers) and Music and Audio Processing (20 papers). The work is most often cited by research in Signal Processing (623 citations), Artificial Intelligence (701 citations) and Computer Vision and Pattern Recognition (113 citations). Shota Horiguchi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kenji Nagamatsu, Shinji Watanabe, Yusuke Fujita, Naoyuki Kanda, Yawen Xue, Leibny Paola Garcia, Kiyoharu Aizawa, Daiki Ikami, Yuki Takashima and Makoto Ogawa. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Multimedia.
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.