Takuya Matsuo

89 total papers · 993 total citations
45 papers, 786 citations indexed

About

Takuya Matsuo is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Takuya Matsuo has authored 45 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 10 papers in Materials Chemistry and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Takuya Matsuo's work include Thin-Film Transistor Technologies (21 papers), CCD and CMOS Imaging Sensors (11 papers) and Transition Metal Oxide Nanomaterials (6 papers). Takuya Matsuo is often cited by papers focused on Thin-Film Transistor Technologies (21 papers), CCD and CMOS Imaging Sensors (11 papers) and Transition Metal Oxide Nanomaterials (6 papers). Takuya Matsuo collaborates with scholars based in Japan, United States and China. Takuya Matsuo's co-authors include Shigeyasu Mori, Shunpei Yamazaki, Taku Asaumi, Naoto Chatani, Fumitoshi Kakiuchi, Yutaka Ishibashi, Norishige Fukushima, M. Esashi, Junichi Morinaga and H. Imai and has published in prestigious journals such as The Journal of Organic Chemistry, IEEE Transactions on Electron Devices and Thin Solid Films.

In The Last Decade

Takuya Matsuo

42 papers receiving 758 citations

Author Peers

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

Author						Papers	Cites
Takuya Matsuo	549	251	103	90	87	45	786
Yinxiang Li	304 0.6×	314 1.3×	38 0.4×	176 2.0×	68 0.8×	70	896
Xin Xu	475 0.9×	373 1.5×	79 0.8×	40 0.4×	184 2.1×	43	886
Y. Taniguchi	431 0.8×	214 0.9×	91 0.9×	41 0.5×	72 0.8×	51	762
Lining Gao	173 0.3×	334 1.3×	86 0.8×	97 1.1×	87 1.0×	48	714
Takao Abe	215 0.4×	369 1.5×	41 0.4×	22 0.2×	99 1.1×	42	794
Xiaojie Yang	231 0.4×	242 1.0×	72 0.7×	23 0.3×	84 1.0×	49	836
Yamin Han	454 0.8×	292 1.2×	59 0.6×	107 1.2×	188 2.2×	55	718
Jian Deng	376 0.7×	436 1.7×	26 0.3×	169 1.9×	98 1.1×	32	795
Gi Heon Kim	436 0.8×	192 0.8×	39 0.4×	23 0.3×	129 1.5×	55	643
Sungkyu Kim	510 0.9×	228 0.9×	41 0.4×	10 0.1×	85 1.0×	38	736

Countries citing papers authored by Takuya Matsuo

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Matsuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Matsuo

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Matsuo. A scholar is included among the top collaborators of Takuya Matsuo 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 Takuya Matsuo. Takuya Matsuo 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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