Sumio Yano

2.1k citations
107 papers · 1.6k · h-index 17

Impact in

Papers in

Sumio Yano

98 papers receiving 1.5k citations

Peers

Sumio Yano
Comparison fields: 5 of 136
  • Human-Computer Interaction 555
  • Media Technology 804
  • Cognitive Neuroscience 521
  • Computer Vision and Pattern Recognition 406
  • Physical Therapy, Sports Therapy and Rehabilitation 56
Replace Hideaki Nii with:
Hideaki Nii Japan
George V. Popescu United States
Hiroshi Ono Japan
A. Pons Spain
Seungjae Lee South Korea
M. C. Wong United States
Chuchart Pintavirooj Thailand
Giuseppe Placidi Italy
Ilaria De Munari Italy
Manuel Domínguez-Morales Spain
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Citations per field
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Citations per year

Countries citing papers authored by Sumio Yano

Since Specialization
Citations

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

Fields of papers citing papers by Sumio Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002254
2 2011230
3 2004205
4 1978111
5 2011107
6 201058
7
Protective effect of interferon inducers against hyperoxic pulmonary damage.
198442
8 200238
9
Antioxidant enzymes and survival of normal and simian virus 40-transformed mouse embryo cells after hyperthermia.
198738
10 199128
11 201226
12 201024
13 198923
14 200418
15 198717
16 200416
17 201616
18 201016
19 201214
20 201312

About Sumio Yano

Sumio Yano is a scholar working on Media Technology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Human-Computer Interaction and Orthopedics and Sports Medicine, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (38 papers), Virtual Reality Applications and Impacts (16 papers), Visual perception and processing mechanisms (16 papers), Motor Control and Adaptation (10 papers), Image and Video Quality Assessment (9 papers), Advanced Vision and Imaging (9 papers), Balance, Gait, and Falls Prevention (8 papers) and Vibration and Dynamic Analysis (7 papers). The work is most often cited by research in Human-Computer Interaction (555 citations), Media Technology (804 citations), Cognitive Neuroscience (521 citations), Computer Vision and Pattern Recognition (406 citations) and Physical Therapy, Sports Therapy and Rehabilitation (56 citations). Sumio Yano has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Tetsuo Mitsuhashi, Masaki Emoto, Harold Thwaites, Koichi Shimono, Wa James Tam, Hiroshi Ono, Filippo Speranza, Atsuhiko Iijima, Takehiko Bando and Yutaka Kikkawa. Their work appears in journals such as Displays, Archive of Applied Mechanics, Optical Engineering, Journal of PHYSIOLOGICAL ANTHROPOLOGY and International Journal of Sports Medicine.

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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