Shinya Shimizu

56 papers receiving 522 citations

Peers

Shinya Shimizu
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 296
  • Signal Processing 210
  • Electrical and Electronic Engineering 114
  • Mechanical Engineering 95
  • Biomedical Engineering 59
Replace Juneho Yi with:
Juneho Yi South Korea
Miguel Alonso Mexico
Srenivas Varadarajan United States
Hiroyasu Koshimizu Japan
Muriel Pressigout France
Luisa F. Polanía United States
Luis M. Ledesma-Carrillo Mexico
M. Bilginer Gülmezoğlu Türkiye
Fangming Hu China
José Ramón Beltrán Spain
Shinya Shimizu relative to Juneho Yi South Korea Juneho Yi's profile →
Citations per field
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Juneho Yi · 1×
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Countries citing papers authored by Shinya Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Shimizu. A scholar is included among the top collaborators of Shinya Shimizu 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 Shinya Shimizu. Shinya Shimizu 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
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11
View synthesis motion estimation for multiview distributed video coding
2
12
A Proposal on Multi-view Video Capture Encoding System
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Adaptive Filtering in View Synthesis Prediction for Multiview Video Coding
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15 70
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Static and dynamic stiffness of 1/10 tapered joints for automatic changing
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Simultaneous measuring method of table motion errors in 6 degrees of freedom
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About Shinya Shimizu

Shinya Shimizu is a scholar working on Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (21 papers), Video Coding and Compression Technologies (18 papers) and Advanced Image Processing Techniques (8 papers). The work is most often cited by research in Signal Processing (210 citations), Computer Vision and Pattern Recognition (296 citations) and Computer Graphics and Computer-Aided Design (21 citations). Shinya Shimizu has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Hideaki Kimata, Kazuto Kamikura, Yoshiyuki Yashima, M. Kitahara, Tomohiro Yendo, Toshiaki Fujii, M. Tanimoto, Ko Yamamoto, Hideo Kaneko and Mitsumasa Koyanagi. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Life Sciences and IEEE Transactions on Industry Applications.

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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