Ryosuke Matsuda

411 citations
22 papers · 326 · h-index 11

Impact in

Papers in

Ryosuke Matsuda

22 papers receiving 323 citations

Peers

Ryosuke Matsuda
Comparison fields: 5 of 60
  • Biomedical Engineering 241
  • Polymers and Plastics 57
  • Cognitive Neuroscience 52
  • Mechanical Engineering 67
  • Bioengineering 10
Replace J Legrand with:
J Legrand Belgium
Meng‐Shiue Lee Taiwan
Olivia Gordon United States
Marcin J. Kraśny Ireland
Seung Yun Heo United States
Frank Du China
Atul Thakre South Korea
Hongji Guo China
Yeonwook Roh South Korea
Ryosuke Matsuda relative to J Legrand Belgium J Legrand's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ryosuke Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ryosuke Matsuda, 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 Ryosuke Matsuda Line = papers co-authored together Ryosuke Matsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202163
2 202049
3 202044
4 202127
5 202021
6 202218
7 202217
8 202217
9 201913
10 202013
11 201710
12 20185
13 20225
14 20244
15 20244
16 20174
17 20233
18 20203
19 20212
20 20232

About Ryosuke Matsuda

Ryosuke Matsuda is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Cognitive Neuroscience, Condensed Matter Physics and Mechanical Engineering, having authored 22 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (15 papers), Tactile and Sensory Interactions (5 papers), Micro and Nano Robotics (4 papers), Advanced Fiber Optic Sensors (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Advanced Materials and Mechanics (3 papers), Conducting polymers and applications (2 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Biomedical Engineering (241 citations), Polymers and Plastics (57 citations), Cognitive Neuroscience (52 citations), Mechanical Engineering (67 citations) and Bioengineering (10 citations). Ryosuke Matsuda has collaborated with scholars based in Japan. Frequent co-authors include Hiroki Ota, Fumika Nakamura, T. Endo, Ohmi Fuchiwaki, Yusuke Okubo, Kazuhide Ueno, Masaki Shimamura, Yutaka Isoda, Shuichi Ito and Koichi Maru. Their work appears in journals such as Advanced Materials Technologies, Advanced Electronic Materials, Scientific Reports, APL Bioengineering and Review of Scientific Instruments.

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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