Takeki Ninomiya

26 total papers · 822 total citations
18 papers, 409 citations indexed

About

Takeki Ninomiya is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Takeki Ninomiya has authored 18 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 3 papers in Materials Chemistry and 2 papers in Automotive Engineering. Recurrent topics in Takeki Ninomiya's work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (10 papers). Takeki Ninomiya is often cited by papers focused on Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers) and Semiconductor materials and devices (10 papers). Takeki Ninomiya collaborates with scholars based in Japan. Takeki Ninomiya's co-authors include Koji Katayama, Zhiqiang Wei, Ryutaro Yasuhara, Takeshi Takagi, S. Muraoka, Takumi Mikawa, T. Takagi, K. Aono, K. Shimakawa and K. Kawai and has published in prestigious journals such as Journal of Physics Condensed Matter, IEEE Transactions on Electron Devices and Japanese Journal of Applied Physics.

In The Last Decade

Takeki Ninomiya

17 papers receiving 404 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Takeki Ninomiya	399	100	80	70	13	18	409
K. Kawai	381 1.0×	94 0.9×	65 0.8×	61 0.9×	18 1.4×	13	402
Ryutaro Yasuhara	390 1.0×	103 1.0×	47 0.6×	44 0.6×	19 1.5×	21	411
Shunichi Kaeriyama	431 1.1×	62 0.6×	37 0.5×	42 0.6×	14 1.1×	18	438
S. O. Park	382 1.0×	55 0.6×	108 1.4×	107 1.5×	8 0.6×	13	409
X. Li	399 1.0×	46 0.5×	28 0.3×	47 0.7×	8 0.6×	19	411
C. U. Pinnow	294 0.7×	61 0.6×	59 0.7×	125 1.8×	16 1.2×	12	414
Yang Lu	376 0.9×	98 1.0×	66 0.8×	83 1.2×	6 0.5×	28	444
Noriyuki Iguchi	349 0.9×	92 0.9×	49 0.6×	61 0.9×	26 2.0×	31	368
Pengxiao Sun	395 1.0×	104 1.0×	122 1.5×	111 1.6×	4 0.3×	17	448
Hafiz Mohammad Mutee Ur Rehman	391 1.0×	63 0.6×	121 1.5×	108 1.5×	6 0.5×	15	483

Countries citing papers authored by Takeki Ninomiya

Since Specialization

Citations

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

Fields of papers citing papers by Takeki Ninomiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeki Ninomiya

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

All Works

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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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