Taku Umebayashi

669 citations
15 papers · 488 indexed · h-index 8
Topics
Advanced Memory and Neural Computing (10 papers)Ferroelectric and Negative Capacitance Devices (9 papers)Ferroelectric and Piezoelectric Materials (5 papers)
Journals
IEEE Journal of the Electron Devices SocietyPublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Partner nations
GermanyJapanTaiwan

In The Last Decade

Taku Umebayashi

15 papers receiving 451 citations

Peers

Taku Umebayashi
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 461
  • Materials Chemistry 149
  • Aerospace Engineering 44
  • Biomedical Engineering 43
  • Media Technology 36
Replace K. Koseki with:
K. Koseki Japan
Keiji Tatani Taiwan
Pyung Choi South Korea
Changhyuk Lee United States
Haruta Tsutomu Japan
K.G. McCarthy Ireland
Chilhee Chung South Korea
Kejun Wu China
Lluís Terés Spain
Byoung-Soo Choi South Korea
Taku Umebayashi relative to K. Koseki Japan K. Koseki's profile →
Citations per field
00.5×10.8×
K. Koseki · 1×
Citations per year

Countries citing papers authored by Taku Umebayashi

Since Specialization
Citations

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

Fields of papers citing papers by Taku Umebayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Umebayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Taku Umebayashi. A scholar is included among the top collaborators of Taku Umebayashi 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 Taku Umebayashi. Taku Umebayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 12
3 1
4 6
5 18
6 6
7 6
8 52
9
3D stacked CIS compatible 40nm embedded STT-MRAM for buffer memory
7
10 42
11 93
12 63
13 38
14 140
15 2

About Taku Umebayashi

Taku Umebayashi is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Media Technology, having authored 15 papers that have together received 488 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Ferroelectric and Negative Capacitance Devices (9 papers) and Ferroelectric and Piezoelectric Materials (5 papers). The work is most often cited by research in Instrumentation (28 citations), Electrical and Electronic Engineering (461 citations) and Media Technology (36 citations). Taku Umebayashi has collaborated with scholars based in Germany, Japan and Taiwan. Frequent co-authors include Thomas Mikolajick, Uwe Schroeder, Masanori Tsukamoto, Konrad Seidel, Jun Okuno, Monica Materano, Tarek Ali, Haruta Tsutomu, Takashi Nagano and Yusuke Shuto. Their work appears in journals such as IEEE Journal of the Electron Devices Society, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

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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