Takashi Mineta

705 citations
69 papers · 507 indexed · h-index 14
Topics
Shape Memory Alloy Transformations (16 papers)Force Microscopy Techniques and Applications (11 papers)Advanced Surface Polishing Techniques (11 papers)
Partner nations
JapanRussiaChina

In The Last Decade

Takashi Mineta

63 papers receiving 484 citations

Peers

Takashi Mineta
Comparison fields: 5 of 76
  • Biomedical Engineering 260
  • Materials Chemistry 174
  • Electrical and Electronic Engineering 150
  • Mechanical Engineering 105
  • Atomic and Molecular Physics, and Optics 79
Replace Dezhi Zhu with:
Dezhi Zhu China
Wen-Yang Chang Taiwan
Jiawang Xie China
Sara Pouladi United States
Qinwu Gao China
Hohyun Keum United States
Johan De Baets Belgium
Thomas Löher Germany
Numair Ahmed United States
Sudip Kundu India
Takashi Mineta relative to Dezhi Zhu China Dezhi Zhu's profile →
Citations per field
00.5×8.3×
Dezhi Zhu · 1×
Citations per year

Countries citing papers authored by Takashi Mineta

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Mineta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Mineta

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Mineta. A scholar is included among the top collaborators of Takashi Mineta 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 Takashi Mineta. Takashi Mineta 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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Fabrication of tactile display device with shape memory alloy thick film actuator and through substrate via electrodes
0
6 3
7 1
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9 4
10 1
11 14
12 1
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15 24
16 14
17 3
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20 4

About Takashi Mineta

Takashi Mineta is a scholar working on Biomedical Engineering, Human-Computer Interaction and Atomic and Molecular Physics, and Optics, having authored 69 papers that have together received 507 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (16 papers), Force Microscopy Techniques and Applications (11 papers) and Advanced Surface Polishing Techniques (11 papers). The work is most often cited by research in Biomedical Engineering (260 citations), Materials Chemistry (174 citations) and Human-Computer Interaction (20 citations). Takashi Mineta has collaborated with scholars based in Japan, Russia and China. Frequent co-authors include Eiji Makino, Takayuki Shibata, Takahiro Kawashima, Masayoshi Esashi, Yoshiyuki Watanabe, Toshiaki Mitsui, Yoichi Haga, Norihisa Katô, Moeto Nagai and Satoshi Toh. Their work appears in journals such as Carbohydrate Polymers, Japanese Journal of Applied Physics and Sensors and Actuators A Physical.

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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