Naoki Murata
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
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- Speech and Audio Processing 17
- Music and Audio Processing 4
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- Advanced Adaptive Filtering Techniques 9
- Co-authors
- Kiyoshi Endo (3 shared papers)Shoichi Koyama (8 shared papers)Hiroshi Saruwatari (8 shared papers)Yuki Mitsufuji (10 shared papers)Hajime Ishihara (1 shared paper)R. Hata (1 shared paper)Masatoshi Kidowaki (1 shared paper)Kohzo Ito (1 shared paper)
In The Last Decade
Naoki Murata
38 papers receiving 369 citations
Peers
Comparison fields: 5 of 85
- Signal Processing 92
- Process Chemistry and Technology 21
- Molecular Medicine 25
- Biomaterials 62
- Polymers and Plastics 46
Countries citing papers authored by Naoki Murata
This map shows the geographic impact of Naoki Murata'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 Naoki Murata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Murata more than expected).
Fields of papers citing papers by Naoki Murata
This network shows the impact of papers produced by Naoki Murata. 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 Naoki Murata. The network helps show where Naoki Murata may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Murata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 77 | |
| 2 | 2009 | 39 | |
| 3 | 2015 | 27 | |
| 4 | 2005 | 26 | |
| 5 | 2018 | 19 | |
| 6 | 2016 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2009 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2015 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2017 | 9 | |
| 14 | 2011 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2015 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2016 | 4 |
About Naoki Murata
Naoki Murata is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Molecular Biology and Cognitive Neuroscience, having authored 42 papers that have together received 376 indexed citations. Recurring topics across this work include Speech and Audio Processing (17 papers), Advanced Adaptive Filtering Techniques (9 papers), Music and Audio Processing (4 papers), Acoustic Wave Phenomena Research (4 papers), Hearing Loss and Rehabilitation (4 papers), Image and Signal Denoising Methods (4 papers), Analytical Chemistry and Sensors (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Signal Processing (92 citations), Process Chemistry and Technology (21 citations), Molecular Medicine (25 citations), Biomaterials (62 citations) and Polymers and Plastics (46 citations). Naoki Murata has collaborated with scholars based in Japan, Australia and Thailand. Frequent co-authors include Kiyoshi Endo, Shoichi Koyama, Hiroshi Saruwatari, Yuki Mitsufuji, Hajime Ishihara, R. Hata, Masatoshi Kidowaki, Kohzo Ito, Kenji Urayama and Toshikazu Takigawa. Their work appears in journals such as The Journal of the Acoustical Society of America, Macromolecules, Natural Product Communications, Journal of Forest Research and Polymer Journal.
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.