Shoko Araki
- Signal Processing top 0.05%
- Computational Mechanics top 0.2%
- Artificial Intelligence top 1%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Shoji MakinoHiroshi SawadaRyo MukaiTomohiro NakataniMarc DelcroixKeisuke KinoshitaNobutaka ItoHiroshi Saruwatari
- Topics
- Speech and Audio Processing (200 papers)Blind Source Separation Techniques (117 papers)Advanced Adaptive Filtering Techniques (104 papers)
- Journals
- IEEE Transactions on Signal ProcessingThe Journal of the Acoustical Society of AmericaElectronics Letters
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shoko Araki
203 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 99
- Signal Processing 4.3k
- Computational Mechanics 2.3k
- Artificial Intelligence 1.2k
- Cognitive Neuroscience 330
- Computer Vision and Pattern Recognition 225
Countries citing papers authored by Shoko Araki
This map shows the geographic impact of Shoko Araki'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 Shoko Araki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoko Araki more than expected).
Fields of papers citing papers by Shoko Araki
This network shows the impact of papers produced by Shoko Araki. 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 Shoko Araki. The network helps show where Shoko Araki may publish in the future.
Co-authorship network of co-authors of Shoko Araki
This figure shows the co-authorship network connecting the top 25 collaborators of Shoko Araki. A scholar is included among the top collaborators of Shoko Araki 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 Shoko Araki. Shoko Araki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 21 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | Parametric-Pearson-based independent component analysis for frequency-domain blind speech separation | 1 |
| 15 | A novel blind source separation method with observation vector clustering | 25 |
| 16 | Blind Source Separation for MOving Speech Signals Using Blockwise ICA and Residual Crosstalk Subtraction | 26 |
| 17 | Hierarchical clustering applied to overcomplete BSS for convolutive mixtures | 2 |
| 18 | 15 | |
| 19 | 24 | |
| 20 | Separation And Dereverberation Performance Of Frequency Domain Blind Source Separation | 5 |
About Shoko Araki
Shoko Araki is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 219 papers that have together received 4.7k indexed citations. Recurring topics across this work include Speech and Audio Processing (200 papers), Blind Source Separation Techniques (117 papers) and Advanced Adaptive Filtering Techniques (104 papers). The work is most often cited by research in Signal Processing (4.3k citations), Computational Mechanics (2.3k citations) and Artificial Intelligence (1.2k citations). Shoko Araki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shoji Makino, Hiroshi Sawada, Ryo Mukai, Tomohiro Nakatani, Marc Delcroix, Keisuke Kinoshita, Nobutaka Ito, Hiroshi Saruwatari, Tsuyoki Nishikawa and Masakiyo Fujimoto. Their work appears in journals such as IEEE Transactions on Signal Processing, The Journal of the Acoustical Society of America and Electronics Letters.
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.