Ryozo Takeuchi

481 citations
8 papers · 310 · h-index 4

Impact in

Papers in

Ryozo Takeuchi

7 papers receiving 282 citations

Peers

Ryozo Takeuchi
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 232
  • Control and Systems Engineering 239
  • Computer Graphics and Computer-Aided Design 10
  • Human-Computer Interaction 10
  • Developmental Biology 3
Replace Tomohiko Mukai with:
Tomohiko Mukai Japan
Bernd Raabe Germany
Yoonsang Lee South Korea
Thomas J. Harte United Kingdom
Zijia Li Austria
Yong-Ho Seo South Korea
Tomohiro Nakai Japan
Pannag Sanketi United States
Angelo Mangili Switzerland
Jinlong Yang Germany
Ryozo Takeuchi relative to Tomohiko Mukai Japan Tomohiko Mukai's profile →
Citations per field
00.5×1.5×
Tomohiko Mukai · 1×
Citations per year

Countries citing papers authored by Ryozo Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Ryozo Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Ryozo Takeuchi, 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 Ryozo Takeuchi Line = papers co-authored together Ryozo Takeuchi links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1995260
2 197025
3 196913
4 20058
5 20082
6 19841
7 19771
8 19950

About Ryozo Takeuchi

Ryozo Takeuchi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Materials Chemistry, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 310 indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (3 papers), Human Motion and Animation (2 papers), Electrostatic Discharge in Electronics (2 papers), Evacuation and Crowd Dynamics (1 paper), Induction Heating and Inverter Technology (1 paper), Engineering Applied Research (1 paper), Conducting polymers and applications (1 paper) and Embedded Systems and FPGA Design (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (232 citations), Control and Systems Engineering (239 citations), Computer Graphics and Computer-Aided Design (10 citations), Human-Computer Interaction (10 citations) and Developmental Biology (3 citations). Ryozo Takeuchi has collaborated with scholars based in Japan. Frequent co-authors include Ken Anjyo, Munetoshi Unuma, Masayuki Ieda, Goro Sawa, Koji Obata and Ken‐ichi Anjyo. Their work appears in journals such as Japanese Journal of Applied Physics, IEEE Transactions on Consumer Electronics, IEEJ Transactions on Fundamentals and Materials and IEEJ Transactions on Electronics Information and Systems.

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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