Nobukatsu Hojo
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Physiology
- Experimental and Cognitive Psychology
- Co-authors
- Hirokazu KameokaTakuhiro KanekoKou TanakaYusuke IjimaKunio KashinoKaoru HiramatsuMasanobu AbeWen-Chin Huang
- Topics
- Speech and Audio Processing (26 papers)Speech Recognition and Synthesis (24 papers)Music and Audio Processing (17 papers)
- Journals
- Speech CommunicationIEEE/ACM Transactions on Audio Speech and Language ProcessingIEICE Transactions on Information and Systems
- Partner nations
- Japan
In The Last Decade
Nobukatsu Hojo
30 papers receiving 958 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 845
- Signal Processing 815
- Computer Vision and Pattern Recognition 168
- Physiology 72
- Experimental and Cognitive Psychology 30
Countries citing papers authored by Nobukatsu Hojo
This map shows the geographic impact of Nobukatsu Hojo'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 Nobukatsu Hojo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobukatsu Hojo more than expected).
Fields of papers citing papers by Nobukatsu Hojo
This network shows the impact of papers produced by Nobukatsu Hojo. 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 Nobukatsu Hojo. The network helps show where Nobukatsu Hojo may publish in the future.
Co-authorship network of co-authors of Nobukatsu Hojo
This figure shows the co-authorship network connecting the top 25 collaborators of Nobukatsu Hojo. A scholar is included among the top collaborators of Nobukatsu Hojo 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 Nobukatsu Hojo. Nobukatsu Hojo 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 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 40 | |
| 8 | 55 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 39 | |
| 12 | 12 | |
| 13 | 91 | |
| 14 | 208 | |
| 15 | 1 | |
| 16 | 28 | |
| 17 | 22 | |
| 18 | 2 | |
| 19 | Generative Adversarial Network-based Postfiltering for Statistical Parametric Speech Synthesis | 2 |
| 20 | 26 |
About Nobukatsu Hojo
Nobukatsu Hojo is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (26 papers), Speech Recognition and Synthesis (24 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Signal Processing (815 citations), Artificial Intelligence (845 citations) and Computer Vision and Pattern Recognition (168 citations). Nobukatsu Hojo has collaborated with scholars based in Japan. Frequent co-authors include Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka, Yusuke Ijima, Kunio Kashino, Kaoru Hiramatsu, Masanobu Abe, Wen-Chin Huang, Hiroyasu Ando and Tomoki Toda. Their work appears in journals such as Speech Communication, IEEE/ACM Transactions on Audio Speech and Language Processing and IEICE Transactions on Information and Systems.
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.