Tomohiro Nakatani
- Signal Processing top 0.02%
- Speech and Audio Processing 283
- Music and Audio Processing 122
- Blind Source Separation Techniques 96
- Computational Mechanics top 0.2%
- Advanced Adaptive Filtering Techniques 118
- Artificial Intelligence top 0.2%
- Speech Recognition and Synthesis 150
- Cognitive Neuroscience top 2%
- Hearing Loss and Rehabilitation 20
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- Spine and Intervertebral Disc Pathology 13
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- Musculoskeletal pain and rehabilitation 12
Tomohiro Nakatani
306 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 124
- Signal Processing 5.5k
- Computational Mechanics 2.2k
- Artificial Intelligence 3.1k
- Cognitive Neuroscience 743
- Computer Vision and Pattern Recognition 321
Countries citing papers authored by Tomohiro Nakatani
This map shows the geographic impact of Tomohiro Nakatani'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 Tomohiro Nakatani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Nakatani more than expected).
Fields of papers citing papers by Tomohiro Nakatani
This network shows the impact of papers produced by Tomohiro Nakatani. 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 Tomohiro Nakatani. The network helps show where Tomohiro Nakatani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomohiro Nakatani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 33 | |
| 8 | 2018 | 10 | |
| 9 | 2015 | 2 | |
| 10 | Dereverberation for reverberation-robust microphone arrays | 2013 | 24 |
| 11 | Survey on approaches to speech recognition in reverberant environments | 2012 | 2 |
| 12 | 2011 | 3 | |
| 13 | A New Audio Postproduction Tool for Speech Dereverberation | 2008 | 1 |
| 14 | An integrated method for blind separation and dereverberation of convolutive audio mixtures | 2008 | 16 |
| 15 | Harmonicity Based Blind Dereverberation with Time Warping | 2004 | 0 |
| 16 | Sound ontology for computational auditory scence analysis | 1998 | 8 |
| 17 | Understanding three simultaneous speeches | 1997 | 2 |
| 18 | Residue-driven architecture for computational auditory scene analysis | 1995 | 24 |
| 19 | Auditory stream segregation in auditory scene analysis with a multi-agent system | 1994 | 18 |
| 20 | 1992 | 1 |
About Tomohiro Nakatani
Tomohiro Nakatani is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence, having authored 330 papers that have together received 6.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (283 papers), Speech Recognition and Synthesis (150 papers), Music and Audio Processing (122 papers), Advanced Adaptive Filtering Techniques (118 papers), Blind Source Separation Techniques (96 papers), Hearing Loss and Rehabilitation (20 papers), Spine and Intervertebral Disc Pathology (13 papers) and Musculoskeletal pain and rehabilitation (12 papers). The work is most often cited by research in Signal Processing (5.5k citations), Computational Mechanics (2.2k citations) and Artificial Intelligence (3.1k citations). Tomohiro Nakatani has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Keisuke Kinoshita, Marc Delcroix, Takuya Yoshioka, Shoko Araki, Nobutaka Ito, Masato Miyoshi, Atsunori Ogawa, Masakiyo Fujimoto, Takuya Higuchi and Shinji Watanabe. Their work appears in journals such as Proceedings of the IEEE, Spine and IEEE Transactions on Signal Processing.
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.