Makoto Azuma

63 total papers · 558 total citations
48 papers, 414 citations indexed

About

Makoto Azuma is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Molecular Biology. According to data from OpenAlex, Makoto Azuma has authored 48 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 12 papers in Atomic and Molecular Physics, and Optics and 5 papers in Molecular Biology. Recurrent topics in Makoto Azuma's work include Silicon Carbide Semiconductor Technologies (11 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers) and Semiconductor materials and devices (9 papers). Makoto Azuma is often cited by papers focused on Silicon Carbide Semiconductor Technologies (11 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers) and Semiconductor materials and devices (9 papers). Makoto Azuma collaborates with scholars based in Japan, United States and Germany. Makoto Azuma's co-authors include Nobuhiro Gemma, Koichi Mizushima, Akira Miura, M. Kurata, Katsuyuki Naito, Syun Egusa, Toshio Nakayama, Akira Miura, Jiro Yoshida and Akira Miura and has published in prestigious journals such as Journal of the American Chemical Society, Physical review. B, Condensed matter and Journal of Applied Physics.

In The Last Decade

Makoto Azuma

46 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Makoto Azuma	266	105	59	58	39	48	414
Mehmet Nacı Incı	261 1.0×	108 1.0×	80 1.4×	19 0.3×	27 0.7×	49	435
Shuan-Yu Huang	228 0.9×	157 1.5×	44 0.7×	15 0.3×	111 2.8×	51	394
Ai-Wu Li	166 0.6×	56 0.5×	115 1.9×	22 0.4×	50 1.3×	38	384
Jie Shen	260 1.0×	51 0.5×	154 2.6×	40 0.7×	39 1.0×	57	489
Tarun Yadav	249 0.9×	98 0.9×	83 1.4×	16 0.3×	77 2.0×	48	441
M. Suzuki	319 1.2×	190 1.8×	162 2.7×	17 0.3×	60 1.5×	29	479
Haonan Zhao	181 0.7×	71 0.7×	165 2.8×	13 0.2×	50 1.3×	49	379
J. G. Grabmaier	231 0.9×	174 1.7×	157 2.7×	14 0.2×	124 3.2×	33	450
Benjamin W. Caplins	170 0.6×	87 0.8×	154 2.6×	15 0.3×	17 0.4×	39	433
Yanzeng Li	285 1.1×	150 1.4×	79 1.3×	48 0.8×	98 2.5×	33	468

Countries citing papers authored by Makoto Azuma

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Azuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Azuma

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