Takumi Mikawa

1.7k citations
33 papers · 1.1k indexed · h-index 16
Topics
Advanced Memory and Neural Computing (23 papers)Ferroelectric and Negative Capacitance Devices (22 papers)Semiconductor materials and devices (16 papers)
Partner nations
JapanBelgiumSingapore

In The Last Decade

Takumi Mikawa

31 papers receiving 1.0k citations

Peers

Takumi Mikawa
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 993
  • Cellular and Molecular Neuroscience 212
  • Materials Chemistry 167
  • Polymers and Plastics 145
  • Computer Networks and Communications 75
Replace Frederick T. Chen with:
Frederick T. Chen Taiwan
Furqan Zahoor India
Y. Katoh Japan
Zhiqiang Wei Japan
Sity Lam United States
Yimao Cai China
Stefan Cosemans Belgium
M. Bocquet France
Chung Lam United States
Hsiang-Lan Lung Taiwan
Takumi Mikawa relative to Frederick T. Chen Taiwan Frederick T. Chen's profile →
Citations per field
00.5×1.5×1.9×
Frederick T. Chen · 1×
Citations per year

Countries citing papers authored by Takumi Mikawa

Since Specialization
Citations

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

Fields of papers citing papers by Takumi Mikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takumi Mikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Mikawa. A scholar is included among the top collaborators of Takumi Mikawa 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 Takumi Mikawa. Takumi Mikawa 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
1 2
2 2
3 0
4 2
5 5
6 0
7 6
8 5
9 2
10 146
11 26
12 7
13 21
14 4
15 37
16 117
17 75
18 5
19 1
20 35

About Takumi Mikawa

Takumi Mikawa is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Bioengineering, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Ferroelectric and Negative Capacitance Devices (22 papers) and Semiconductor materials and devices (16 papers). The work is most often cited by research in Electrical and Electronic Engineering (993 citations), Cellular and Molecular Neuroscience (212 citations) and Hardware and Architecture (72 citations). Takumi Mikawa has collaborated with scholars based in Japan, Belgium and Singapore. Frequent co-authors include Y. Katoh, K. Shimakawa, Koji Katayama, K. Aono, Zhiqiang Wei, S. Muraoka, Akifumi Kawahara, Yukio Hayakawa, Shinichi Yoneda and K. Tsuji. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Journal of Solid-State Circuits.

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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