Ryoichi Takashima
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Physiology
- Experimental and Cognitive Psychology
- Cognitive Neuroscience
- Co-authors
- Tetsuya TakiguchiYasuo ArikiRyo AiharaHisashi KawaiToru NakashikaSheng LiSatoshi TakadaYuki Takashima
- Topics
- Speech and Audio Processing (51 papers)Speech Recognition and Synthesis (42 papers)Music and Audio Processing (34 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Ryoichi Takashima
58 papers receiving 626 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 517
- Signal Processing 504
- Physiology 96
- Experimental and Cognitive Psychology 65
- Cognitive Neuroscience 60
Countries citing papers authored by Ryoichi Takashima
This map shows the geographic impact of Ryoichi Takashima'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 Ryoichi Takashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoichi Takashima more than expected).
Fields of papers citing papers by Ryoichi Takashima
This network shows the impact of papers produced by Ryoichi Takashima. 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 Ryoichi Takashima. The network helps show where Ryoichi Takashima may publish in the future.
Co-authorship network of co-authors of Ryoichi Takashima
This figure shows the co-authorship network connecting the top 25 collaborators of Ryoichi Takashima. A scholar is included among the top collaborators of Ryoichi Takashima 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 Ryoichi Takashima. Ryoichi Takashima 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | Noise-robust voice conversion based on spectral mapping on sparse space. | 11 |
| 16 | 49 | |
| 17 | 5 | |
| 18 | Consonant enhancement for articulation disorders based on non-negative matrix factorization | 6 |
| 19 | Robust feature extraction to utterance fluctuations due to articulation disorders based on sparse expression | 1 |
| 20 | Monaural sound-source-direction estimation using the acoustic transfer function of an active microphone | 1 |
About Ryoichi Takashima
Ryoichi Takashima is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 68 papers that have together received 684 indexed citations. Recurring topics across this work include Speech and Audio Processing (51 papers), Speech Recognition and Synthesis (42 papers) and Music and Audio Processing (34 papers). The work is most often cited by research in Signal Processing (504 citations), Artificial Intelligence (517 citations) and Experimental and Cognitive Psychology (65 citations). Ryoichi Takashima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tetsuya Takiguchi, Yasuo Ariki, Ryo Aihara, Hisashi Kawai, Toru Nakashika, Sheng Li, Satoshi Takada, Yuki Takashima, Takuma Okamoto and Tomoki Toda. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and Pattern Recognition.
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.