Takeaki Sugimura

1.7k citations
16 papers · 239 · h-index 7

Impact in

Papers in

Takeaki Sugimura

16 papers receiving 236 citations

Peers

Takeaki Sugimura
Comparison fields: 5 of 54
  • Biophysics 82
  • Acoustics and Ultrasonics 7
  • Instrumentation 14
  • Media Technology 26
  • Biomedical Engineering 100
Replace Lanxin Zhu with:
Lanxin Zhu China
Cheng Zheng China
Boris Ferdman Israel
Jeffrey Harmon Japan
Yiyue Jiang Japan
Yuchen Gu China
Claire Lifan Chen United States
Dushan N. Wadduwage United States
Jian Ren United States
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Citations per field
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Citations per year

Countries citing papers authored by Takeaki Sugimura

Since Specialization
Citations

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

Fields of papers citing papers by Takeaki Sugimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018132
2 201841
3 201120
4 20049
5 20097
6 20066
7 20096
8 20065
9 20083
10 20063
11
三次元画像処理システムのための相補型金属-酸化物-半導体画像センサの基本研究
20092
12
Robot Vision System with Three-Dimensionally Integrated Reconfigurable Image Processor Chip
20051
13
Reconfigurable Stacked Memory System for Parallel Image Processing Using Three-Dimensional LSI Technology
20061
14 20071
15 20091
16 20191

About Takeaki Sugimura

Takeaki Sugimura is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Media Technology, Biophysics and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 239 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (7 papers), Image Processing Techniques and Applications (5 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Cell Image Analysis Techniques (3 papers), Embedded Systems Design Techniques (2 papers), Advanced Memory and Neural Computing (2 papers) and Magnetic properties of thin films (2 papers). The work is most often cited by research in Biophysics (82 citations), Acoustics and Ultrasonics (7 citations), Instrumentation (14 citations), Media Technology (26 citations) and Biomedical Engineering (100 citations). Takeaki Sugimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keisuke Goda, Hideharu Mikami, Cheng Lei, Takuro Ito, Yasuyuki Ozeki, Nao Nitta, Akihiro Isozaki, Yi Wu, Ming Li and Hirofumi Kobayashi. Their work appears in journals such as Japanese Journal of Applied Physics, Nature Protocols, IEEE Journal of Solid-State Circuits, Chem and Conference on Lasers and Electro-Optics.

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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