Eita Nakamura
- Signal Processing top 2%
- Music and Audio Processing 47
- Speech and Audio Processing 29
- Blind Source Separation Techniques 5
-
- Music Technology and Sound Studies 34
- Music top 5%
-
- Neuroscience and Music Perception 12
-
- Particle physics theoretical and experimental studies 5
-
- Speech Recognition and Synthesis 6
-
- Cosmology and Gravitation Theories 3
- Co-authors
- Kazuyoshi YoshiiShigeki SagayamaKatsutoshi ItoyamaKoichi HamaguchiSatoshi ShiraiMasataka GotoSimon DixonYasuyuki Saito
- Partner nations
- JapanUnited KingdomSpain
In The Last Decade
Eita Nakamura
56 papers receiving 480 citations
Peers
Comparison fields: 5 of 68
- Signal Processing 312
- Computer Vision and Pattern Recognition 240
- Music 27
- Cognitive Neuroscience 90
- Nuclear and High Energy Physics 56
Countries citing papers authored by Eita Nakamura
This map shows the geographic impact of Eita Nakamura'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 Eita Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eita Nakamura more than expected).
Fields of papers citing papers by Eita Nakamura
This network shows the impact of papers produced by Eita Nakamura. 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 Eita Nakamura. The network helps show where Eita Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eita Nakamura, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 1 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 3 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 8 | |
| 14 | 2017 | 1 | |
| 15 | Automatic Piano Reduction from Ensemble Scores Based on Merged-Output Hidden Markov Model | 2015 | 10 |
| 16 | 2013 | 4 | |
| 17 | 2012 | 48 | |
| 18 | 2009 | 36 | |
| 19 | 2006 | 21 | |
| 20 | 1997 | 15 |
About Eita Nakamura
Eita Nakamura is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Developmental Biology, having authored 60 papers that have together received 486 indexed citations. Recurring topics across this work include Music and Audio Processing (47 papers), Music Technology and Sound Studies (34 papers), Speech and Audio Processing (29 papers), Neuroscience and Music Perception (12 papers), Speech Recognition and Synthesis (6 papers), Blind Source Separation Techniques (5 papers), Particle physics theoretical and experimental studies (5 papers) and Cosmology and Gravitation Theories (3 papers). The work is most often cited by research in Signal Processing (312 citations), Computer Vision and Pattern Recognition (240 citations) and Music (27 citations). Eita Nakamura has collaborated with scholars based in Japan, United Kingdom and Spain. Frequent co-authors include Kazuyoshi Yoshii, Shigeki Sagayama, Katsutoshi Itoyama, Koichi Hamaguchi, Satoshi Shirai, Masataka Goto, Simon Dixon, Yasuyuki Saito, Tsutomu T. Yanagida and Nobutaka Ono. Their work appears in journals such as The Journal of Immunology, Oncogene and Physics Letters B.
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.