Koichi Hirota

1.9k citations
119 papers · 1.2k · h-index 19

Impact in

Papers in

Koichi Hirota

110 papers receiving 1.1k citations

Peers

Koichi Hirota
Comparison fields: 5 of 115
  • Human-Computer Interaction 529
  • Computer Graphics and Computer-Aided Design 111
  • Cognitive Neuroscience 475
  • Sensory Systems 103
  • Computer Vision and Pattern Recognition 187
Replace Taro Maeda with:
Taro Maeda Japan
Juno Kim Australia
Bernard D. Adelstein United States
Lionel Revéret France
Jacques Droulez France
M. Manivannan India
Zijiang J. He United States
Peter Willemsen United States
George J. Andersen United States
Teng Leng Ooi United States
Koichi Hirota relative to Taro Maeda Japan Taro Maeda's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Koichi Hirota

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Hirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006119
2 198970
3 199768
4 199867
5 200265
6 200463
7 200540
8 200437
9 200036
10 200233
11 200326
12 199526
13 200224
14 201924
15 202024
16 200122
17 200522
18 201921
19 200221
20 201617

About Koichi Hirota

Koichi Hirota is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Mechanical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 119 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (58 papers), Interactive and Immersive Displays (32 papers), Teleoperation and Haptic Systems (27 papers), Virtual Reality Applications and Impacts (26 papers), Visual perception and processing mechanisms (11 papers), Augmented Reality Applications (7 papers), Advanced Optical Imaging Technologies (6 papers) and Robot Manipulation and Learning (5 papers). The work is most often cited by research in Human-Computer Interaction (529 citations), Computer Graphics and Computer-Aided Design (111 citations), Cognitive Neuroscience (475 citations), Sensory Systems (103 citations) and Computer Vision and Pattern Recognition (187 citations). Koichi Hirota has collaborated with scholars based in Japan, Sweden and China. Frequent co-authors include Michitaka Hirose, Toyohisa Kaneko, Tomohiro Tanikawa, Yusuke Ujitoko, Yasushi Ikei, Jun Yamashita, Tomohiro Amemiya, Tomohiro Amemiya, Toshihiro Yamada and Shigeyuki Yokoyama. Their work appears in journals such as IEEE Transactions on Haptics, IEEE Access, PRESENCE Virtual and Augmented Reality, Neurology and The Visual Computer.

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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