Kenta Niwa
- Signal Processing top 2%
- Computational Mechanics top 5%
- Cognitive Neuroscience top 10%
- Public Health, Environmental and Occupational Health
- Biomedical Engineering
- Co-authors
- Yusuke HiokaYoichi HanedaKazunori KobayashiM. C. ChangKen’ichi FuruyaYuma KoizumiGuoqiang ZhangKayoko Kobayashi
- Topics
- Speech and Audio Processing (52 papers)Advanced Adaptive Filtering Techniques (31 papers)Acoustic Wave Phenomena Research (20 papers)
- Journals
- The Journal of the Acoustical Society of AmericaIEEE Transactions on Neural Networks and Learning SystemsReproduction
- Partner nations
- JapanNew ZealandAustralia
In The Last Decade
Kenta Niwa
67 papers receiving 543 citations
Peers
Comparison fields: 5 of 69
- Signal Processing 360
- Computational Mechanics 189
- Cognitive Neuroscience 129
- Public Health, Environmental and Occupational Health 110
- Biomedical Engineering 100
Countries citing papers authored by Kenta Niwa
This map shows the geographic impact of Kenta Niwa'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 Kenta Niwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenta Niwa more than expected).
Fields of papers citing papers by Kenta Niwa
This network shows the impact of papers produced by Kenta Niwa. 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 Kenta Niwa. The network helps show where Kenta Niwa may publish in the future.
Co-authorship network of co-authors of Kenta Niwa
This figure shows the co-authorship network connecting the top 25 collaborators of Kenta Niwa. A scholar is included among the top collaborators of Kenta Niwa 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 Kenta Niwa. Kenta Niwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | New Recording Application for Software Defined Media | 1 |
| 8 | Smartphone-Based 360° Video Streaming/Viewing System including Acoustic Immersion | 3 |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | An Estimation Method of Distance between Each Sound Source and Microphone Array Utilizing Eigenvalue Distribution of Spatial Correlation Matrix | 1 |
| 15 | Evaluation of microphone array based on diffused sensing with various filter design methods | 3 |
| 16 | 45 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 24 | |
| 20 | 74 |
About Kenta Niwa
Kenta Niwa is a scholar working on Signal Processing, Computational Mechanics and Cognitive Neuroscience, having authored 75 papers that have together received 570 indexed citations. Recurring topics across this work include Speech and Audio Processing (52 papers), Advanced Adaptive Filtering Techniques (31 papers) and Acoustic Wave Phenomena Research (20 papers). The work is most often cited by research in Signal Processing (360 citations), Reproductive Medicine (86 citations) and Computational Mechanics (189 citations). Kenta Niwa has collaborated with scholars based in Japan, New Zealand and Australia. Frequent co-authors include Yusuke Hioka, Yoichi Haneda, Kazunori Kobayashi, M. C. Chang, Ken’ichi Furuya, Yuma Koizumi, Guoqiang Zhang, Kayoko Kobayashi, W. Bastiaan Kleijn and A. Iritani. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Neural Networks and Learning Systems and Reproduction.
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.