Keisuke Nakamura
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Social Psychology top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Kazuhiro NakadaiRandy GómezR. NorgrenTetsuo OnoGuangliang LiGökhan İnceMasayuki FukudaTakami Yoshida
- Topics
- Speech and Audio Processing (52 papers)Music and Audio Processing (28 papers)Advanced Adaptive Filtering Techniques (19 papers)
In The Last Decade
Keisuke Nakamura
135 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 144
- Signal Processing 531
- Artificial Intelligence 340
- Cognitive Neuroscience 335
- Social Psychology 246
- Computer Vision and Pattern Recognition 233
Countries citing papers authored by Keisuke Nakamura
This map shows the geographic impact of Keisuke 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 Keisuke Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Nakamura more than expected).
Fields of papers citing papers by Keisuke Nakamura
This network shows the impact of papers produced by Keisuke 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 Keisuke Nakamura. The network helps show where Keisuke Nakamura may publish in the future.
Co-authorship network of co-authors of Keisuke Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Nakamura. A scholar is included among the top collaborators of Keisuke Nakamura 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 Keisuke Nakamura. Keisuke Nakamura 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 | 4 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition | 3 |
| 7 | 60 | |
| 8 | 6 | |
| 9 | Multicopter Localization using Sound Landmarks | 1 |
| 10 | Semi-optimal motion control for nonholonomic systems with a passive joint | 6 |
| 11 | 75 | |
| 12 | Evolvable e-Learning system | 1 |
| 13 | 16 | |
| 14 | Objective Measurement of the Chromatic Contrast Sensitivity Using VEP: Studies on Normals and Color Vision Defectives | 1 |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 35 | |
| 19 | 12 | |
| 20 | 13 |
About Keisuke Nakamura
Keisuke Nakamura is a scholar working on Signal Processing, Human-Computer Interaction and Cognitive Neuroscience, having authored 142 papers that have together received 1.9k indexed citations. Recurring topics across this work include Speech and Audio Processing (52 papers), Music and Audio Processing (28 papers) and Advanced Adaptive Filtering Techniques (19 papers). The work is most often cited by research in Signal Processing (531 citations), Sensory Systems (143 citations) and Human-Computer Interaction (130 citations). Keisuke Nakamura has collaborated with scholars based in Japan, China and France. Frequent co-authors include Kazuhiro Nakadai, Randy Gómez, R. Norgren, Tetsuo Ono, Guangliang Li, Gökhan İnce, Masayuki Fukuda, Takami Yoshida, Hisao Nishijo and Takeshi Mizumoto. Their work appears in journals such as Gastroenterology, Journal of Neurophysiology and IEEE Access.
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.