Akihiro Moto

52 total papers · 550 total citations
37 papers, 406 citations indexed

About

Akihiro Moto is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Akihiro Moto has authored 37 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 23 papers in Condensed Matter Physics and 22 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Akihiro Moto's work include Semiconductor Quantum Structures and Devices (16 papers), GaN-based semiconductor devices and materials (12 papers) and Physics of Superconductivity and Magnetism (11 papers). Akihiro Moto is often cited by papers focused on Semiconductor Quantum Structures and Devices (16 papers), GaN-based semiconductor devices and materials (12 papers) and Physics of Superconductivity and Magnetism (11 papers). Akihiro Moto collaborates with scholars based in Japan, United States and Italy. Akihiro Moto's co-authors include Shigenori Takagishi, Michiko Takahashi, So Tanaka, Mitsuo Takahashi, Toshiharu Saiki, Tatsuo Shimizu, Kazunari Matsuda, Akiharu Morimoto, Seth R. Bank and Mark A. Wistey and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Solar Energy Materials and Solar Cells.

In The Last Decade

Akihiro Moto

36 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Akihiro Moto	274	253	221	75	70	37	406
Zhongming Zheng	271 1.0×	212 0.8×	162 0.7×	115 1.5×	63 0.9×	35	449
J. J. Gannon	262 1.0×	216 0.9×	171 0.8×	76 1.0×	47 0.7×	31	491
E. Bedel	287 1.0×	357 1.4×	101 0.5×	134 1.8×	38 0.5×	38	463
Manoj Kesaria	208 0.8×	162 0.6×	182 0.8×	193 2.6×	149 2.1×	39	421
K. Herrmann	205 0.7×	236 0.9×	388 1.8×	83 1.1×	111 1.6×	25	494
S. Lutgen	313 1.1×	350 1.4×	118 0.5×	59 0.8×	26 0.4×	31	463
B. M. Arora	342 1.2×	279 1.1×	114 0.5×	166 2.2×	46 0.7×	66	473
E. Alekseev	343 1.3×	162 0.6×	289 1.3×	79 1.1×	104 1.5×	26	464
H. Rasooli Saghai	245 0.9×	246 1.0×	52 0.2×	70 0.9×	58 0.8×	45	403
D. Eisert	262 1.0×	189 0.7×	189 0.9×	248 3.3×	60 0.9×	26	444

Countries citing papers authored by Akihiro Moto

Since Specialization

Citations

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

Fields of papers citing papers by Akihiro Moto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Moto

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