Akira Tomono

37 papers receiving 390 citations

Peers

Akira Tomono
Comparison fields: 5 of 67
  • Sensory Systems 168
  • Human-Computer Interaction 157
  • Computer Vision and Pattern Recognition 131
  • Biomedical Engineering 86
  • Cognitive Neuroscience 72
Replace Y. Yanagida with:
Y. Yanagida Japan
Yasuyuki Yanagida Japan
Huong Quynh Dinh United States
Denis Pellerin France
Boris Schauerte Germany
David Dobbelstein Germany
Thomas S. A. Wallis Germany
Munehiko Sato Japan
Haruka Matsukura Japan
Dicky N. Sihite United States
Akira Tomono relative to Y. Yanagida Japan Y. Yanagida's profile →
Citations per field
00.5×1.5×
Y. Yanagida · 1×
Citations per year

Countries citing papers authored by Akira Tomono

Since Specialization
Citations

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

Fields of papers citing papers by Akira Tomono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Tomono

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Tomono. A scholar is included among the top collaborators of Akira Tomono 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 Akira Tomono. Akira Tomono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 1
4 1
5
1
6 1
7 2
8 100
9 1
10
A Study on Unencumbering, Directional Olfactory Display
1
11 0
12 3
13
Human Action Recognition Using HMM with Category-Separated Vector Quantization
7
14
A Kalman Filtering with a Gaze-Holding Algorithm for Intentionally Controlling a Displayed Object by the Line-of-Gaze
2
15
An Optical Design for a Large Screen Stereoscopic Display System with Extended Observable Space
0
16 1
17 0
18 25
19
A study of human-computer interaction via stereoscopic display
4
20
A study of human interface using an eye-movement detection system
1

About Akira Tomono

Akira Tomono is a scholar working on Human-Computer Interaction, Sensory Systems and Computer Graphics and Computer-Aided Design, having authored 44 papers that have together received 426 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (15 papers), Virtual Reality Applications and Impacts (8 papers) and Interactive and Immersive Displays (7 papers). The work is most often cited by research in Sensory Systems (168 citations), Human-Computer Interaction (157 citations) and Computer Vision and Pattern Recognition (131 citations). Akira Tomono has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Haruo Noma, Shinjiro Kawato, Y. Yanagida, Toru Wakahara, Yasuyuki Yanagida, Nobuji Tetsutani, Yukio Kobayashi, Fumio Kishino, Haruo Takemura and Atsushi Sato. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and IEICE Transactions on Fundamentals of Electronics Communications and Computer 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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