Naoki Kimura

549 citations
19 papers · 133 · h-index 7

Impact in

    • Hand Gesture Recognition Systems
    • Interactive and Immersive Displays
    • Gaze Tracking and Assistive Technology
    • Virtual Reality Applications and Impacts
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

Naoki Kimura

18 papers receiving 129 citations

Peers

Naoki Kimura
Comparison fields: 5 of 50
  • Human-Computer Interaction 65
  • Signal Processing 40
  • Cognitive Neuroscience 38
  • Computer Vision and Pattern Recognition 39
  • Computer Graphics and Computer-Aided Design 3
Replace Akhil Raju with:
Akhil Raju India
Mohamad El-Abed France
Deep Kothadiya India
Yasuhito Sawahata Japan
Jakub Kanis Czechia
Bret Harsham United States
Javier Hernandez‐Ortega Spain
Blaine Lewis United States
M. Withgott United States
Christopher Dobrian United States
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Citations per field
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Citations per year

Countries citing papers authored by Naoki Kimura

Since Specialization
Citations

This map shows the geographic impact of Naoki Kimura'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 Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Kimura more than expected).

Fields of papers citing papers by Naoki Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naoki Kimura. 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 Kimura. The network helps show where Naoki Kimura may publish in the future.

Co-authors

The 25 scholars most cited alongside Naoki Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Naoki Kimura Line = papers co-authored together Naoki Kimura links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202229
2 201819
3 202013
4 201912
5 202112
6 202110
7 20199
8 20205
9 20194
10 20224
11 20223
12 20233
13 20163
14
End-to-End Deep Learning Speech Recognition Model for Silent Speech Challenge.
20202
15 20242
16 20221
17
TieLent A Casual Neck-Mounted Mouth Capturing Device for Silent Speech Interaction
20201
18 20181
19 20030

About Naoki Kimura

Naoki Kimura is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing and Media Technology, having authored 19 papers that have together received 133 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (6 papers), Interactive and Immersive Displays (5 papers), Hand Gesture Recognition Systems (5 papers), Speech and Audio Processing (3 papers), Gaze Tracking and Assistive Technology (2 papers), Advanced Optical Imaging Technologies (2 papers), Music and Audio Processing (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Human-Computer Interaction (65 citations), Signal Processing (40 citations), Cognitive Neuroscience (38 citations), Computer Vision and Pattern Recognition (39 citations) and Computer Graphics and Computer-Aided Design (3 citations). Naoki Kimura has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Jun Rekimoto, Kentarō Hayashi, Alex Olwal, Thad Starner, Abdelkareem Bedri, Xinlei Zhang, Richard Li, Daniel Vogel, Kiyo Kurisu and Keisuke Hanaki. Their work appears in journals such as Journal of Cleaner Production, Immunology and Cell Biology, Modern Rheumatology, PLoS ONE and CHI Conference on Human Factors in Computing Systems.

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.

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