Taro Maeda

1.4k citations
123 papers · 994 · h-index 17

Impact in

    • Interactive and Immersive Displays
    • Virtual Reality Applications and Impacts
    • Gaze Tracking and Assistive Technology
    • Tactile and Sensory Interactions
    • Visual perception and processing mechanisms
    • Motor Control and Adaptation

Papers in

    • Tactile and Sensory Interactions 37
    • Visual perception and processing mechanisms 21
    • Interactive and Immersive Displays 22
    • Gaze Tracking and Assistive Technology 17
    • Virtual Reality Applications and Impacts 13

Taro Maeda

110 papers receiving 929 citations

Peers

Taro Maeda
Comparison fields: 5 of 84
  • Human-Computer Interaction 403
  • Cognitive Neuroscience 589
  • Computer Graphics and Computer-Aided Design 60
  • Sensory Systems 79
  • Computer Vision and Pattern Recognition 169
Replace Hideaki Nii with:
Hideaki Nii Japan
Bernard D. Adelstein United States
Federico Avanzini Italy
Hiroaki Yano Japan
Yuki Ban Japan
Jongeun Cha Canada
Yasuyuki Yanagida Japan
Elizabeth M. Wenzel United States
Michael D’Zmura United States
Durand R. Begault United States
Taro Maeda relative to Hideaki Nii Japan Hideaki Nii's profile →
Citations per field
00.5×
Hideaki Nii · 1×
Citations per year

Countries citing papers authored by Taro Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Taro Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tactile Feeling Display using Functional Electrical Stimulation
199983
2 200871
3
Detailed Shape Representation with Parallax Mapping
200166
4 201547
5 200137
6 200434
7 201028
8 200427
9 200427
10 200226
11
Electro-Tactile Display with Force Feedback
200124
12 200923
13 201722
14 200522
15 200519
16 200218
17 200217
18 201416
19 201713
20 200712

About Taro Maeda

Taro Maeda is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Biomedical Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 123 papers that have together received 994 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (37 papers), Interactive and Immersive Displays (22 papers), Visual perception and processing mechanisms (21 papers), Gaze Tracking and Assistive Technology (17 papers), Teleoperation and Haptic Systems (16 papers), Virtual Reality Applications and Impacts (13 papers), Advanced Optical Imaging Technologies (9 papers) and Robotic Locomotion and Control (9 papers). The work is most often cited by research in Human-Computer Interaction (403 citations), Cognitive Neuroscience (589 citations), Computer Graphics and Computer-Aided Design (60 citations), Sensory Systems (79 citations) and Computer Vision and Pattern Recognition (169 citations). Taro Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideyuki Ando, Susumu Tachi, Tomohiro Amemiya, Naoki Kawakami, Hiroyuki Kajimoto, Hiroyuki Iizuka, Masahiko İnami, Junji Watanabe, Eimei Oyama and Yasuyuki Yanagida. Their work appears in journals such as Neurocomputing, Scientific Reports, Vision Research, ACM Transactions on Applied Perception and PLoS ONE.

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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