K. Shimakawa

1.2k total citations
11 papers, 706 citations indexed

About

K. Shimakawa is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, K. Shimakawa has authored 11 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in K. Shimakawa's work include Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Semiconductor materials and devices (8 papers). K. Shimakawa is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Semiconductor materials and devices (8 papers). K. Shimakawa collaborates with scholars based in Japan and Belgium. K. Shimakawa's co-authors include Takumi Mikawa, Y. Katoh, K. Aono, Akifumi Kawahara, Ken Kawai, Yukio Hayakawa, K. Tsuji, Shinichi Yoneda, Takeshi Takagi and K. Kawai and has published in prestigious journals such as IEEE Journal of Solid-State Circuits.

In The Last Decade

K. Shimakawa

11 papers receiving 697 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K. Shimakawa Japan	11	673	154	101	81	70	11	706
Y. Katoh Japan	9	690 1.0×	168 1.1×	109 1.1×	90 1.1×	65 0.9×	10	731
Akifumi Kawahara Japan	6	484 0.7×	103 0.7×	53 0.5×	43 0.5×	69 1.0×	7	514
Bastien Giraud France	13	574 0.9×	139 0.9×	107 1.1×	30 0.4×	57 0.8×	59	675
Takumi Mikawa Japan	16	993 1.5×	212 1.4×	145 1.4×	167 2.1×	75 1.1×	33	1.1k
Shinichi Yoneda Japan	6	397 0.6×	81 0.5×	45 0.4×	35 0.4×	52 0.7×	9	418
Zhiqiang Wei Japan	16	630 0.9×	149 1.0×	126 1.2×	105 1.3×	30 0.4×	42	680
Yukio Hayakawa Japan	5	382 0.6×	79 0.5×	43 0.4×	35 0.4×	52 0.7×	5	403
Kyung‐Chang Ryoo South Korea	13	596 0.9×	94 0.6×	138 1.4×	341 4.2×	76 1.1×	42	683
Ken Kawai Japan	4	372 0.6×	79 0.5×	41 0.4×	31 0.4×	56 0.8×	6	396
Frederick T. Chen Taiwan	18	959 1.4×	213 1.4×	129 1.3×	142 1.8×	40 0.6×	38	999

Countries citing papers authored by K. Shimakawa

Since Specialization

Citations

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

Fields of papers citing papers by K. Shimakawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Shimakawa

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

All Works

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11 of 11 papers shown

1.

Hayakawa, Y., A. Himeno, Ryo Yasuhara, et al.. (2015). Highly reliable TaO<inf>x</inf> ReRAM with centralized filament for 28-nm embedded application. 21 indexed citations

2.

Hayakawa, Y., A. Himeno, Ryo Yasuhara, et al.. (2015). Highly reliable TaO<inf>x</inf> ReRAM with centralized filament for 28-nm embedded application. T14–T15. 69 indexed citations

3.

Wei, Zhiqiang, Koji Eriguchi, S. Muraoka, et al.. (2015). Distribution projecting the reliability for 40 nm ReRAM and beyond based on stochastic differential equation. 7.7.1–7.7.4. 20 indexed citations

4.

Kawai, Ken, et al.. (2014). Highly-reliable TaOx reram technology using automatic forming circuit. 1–4. 16 indexed citations

5.

Kawahara, Akifumi, K. Kawai, Y. Ikeda, et al.. (2013). Filament scaling forming technique and level-verify-write scheme with endurance over 107 cycles in ReRAM. 220–221. 37 indexed citations

6.

Kawahara, Akifumi, Ken Kawai, Y. Katoh, et al.. (2012). An 8Mb multi-layered cross-point ReRAM macro with 443MB/s write throughput. 432–434. 117 indexed citations

7.

Ninomiya, Takeki, T. Takagi, Zhiqiang Wei, et al.. (2012). Conductive filament scaling of TaO<inf>x</inf> bipolar ReRAM for long retention with low current operation. 73–74. 25 indexed citations

8.

Wei, Zhiqiang, T. Takagi, Yuchi Kanzawa, et al.. (2012). Retention Model for High-Density ReRAM. 1–4. 24 indexed citations

9.

Kawahara, Akifumi, Ken Kawai, Y. Katoh, et al.. (2012). An 8 Mb Multi-Layered Cross-Point ReRAM Macro With 443 MB/s Write Throughput. IEEE Journal of Solid-State Circuits. 48(1). 178–185. 249 indexed citations

10.

Wei, Zhiqiang, T. Takagi, Yuchi Kanzawa, et al.. (2011). Demonstration of high-density ReRAM ensuring 10-year retention at 85°C based on a newly developed reliability model. 31.4.1–31.4.4. 99 indexed citations

11.

Muraoka, S., Yuchi Kanzawa, S. Mitani, et al.. (2007). Fast switching and long retention Fe-O ReRAM and its switching mechanism. 779–782. 29 indexed citations

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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