Asako Kimura

604 citations
66 papers · 403 · h-index 12

Impact in

Papers in

Asako Kimura

61 papers receiving 391 citations

Peers

Asako Kimura
Comparison fields: 5 of 71
  • Human-Computer Interaction 257
  • Computer Vision and Pattern Recognition 186
  • Computer Graphics and Computer-Aided Design 29
  • Cognitive Neuroscience 138
  • Periodontics 21
Replace Fumihisa Shibata with:
Fumihisa Shibata Japan
Mai Otsuki Japan
Mayra Donaji Barrera Machuca Canada
Reynold Bailey United States
Scott Kuhl United States
Kouichi Utsumiya Japan
Álvaro Cassinelli Japan
Rafael Kuffner dos Anjos Portugal
Bruno De Araujo Canada
Tetsuro Ogi Japan
Asako Kimura relative to Fumihisa Shibata Japan Fumihisa Shibata's profile →
Citations per field
00.5×1.5×
Fumihisa Shibata · 1×
Citations per year

Countries citing papers authored by Asako Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Asako Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Asako 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 Asako Kimura Line = papers co-authored together Asako Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199840
2 201023
3 201122
4 201821
5 201718
6 201217
7 201517
8 200815
9 201714
10 200614
11 201813
12 202111
13 201310
14 201810
15 20129
16 20149
17 20117
18 20117
19 20197
20 20197

About Asako Kimura

Asako Kimura is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Media Technology, having authored 66 papers that have together received 403 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (25 papers), Augmented Reality Applications (24 papers), Interactive and Immersive Displays (21 papers), Tactile and Sensory Interactions (19 papers), Visual perception and processing mechanisms (10 papers), Computer Graphics and Visualization Techniques (10 papers), Advanced Optical Imaging Technologies (9 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Human-Computer Interaction (257 citations), Computer Vision and Pattern Recognition (186 citations), Computer Graphics and Computer-Aided Design (29 citations), Cognitive Neuroscience (138 citations) and Periodontics (21 citations). Asako Kimura has collaborated with scholars based in Japan, Austria and India. Frequent co-authors include Fumihisa Shibata, Hideyuki Tamura, Mai Otsuki, Shohei Mori, Yutaka Matsuki, Hiromasa Yoshie, Kohji Hara, Sei Ikeda, Tadashi Yamamoto and Noriko Sugita. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ITE Transactions on Media Technology and Applications, Virtual Reality, Perception and Applied Sciences.

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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