Masato Goto

97 total papers · 501 total citations
43 papers, 368 citations indexed

About

Masato Goto is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Masato Goto has authored 43 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electronic, Optical and Magnetic Materials, 25 papers in Condensed Matter Physics and 14 papers in Materials Chemistry. Recurrent topics in Masato Goto's work include Advanced Condensed Matter Physics (25 papers), Magnetic and transport properties of perovskites and related materials (23 papers) and Multiferroics and related materials (21 papers). Masato Goto is often cited by papers focused on Advanced Condensed Matter Physics (25 papers), Magnetic and transport properties of perovskites and related materials (23 papers) and Multiferroics and related materials (21 papers). Masato Goto collaborates with scholars based in Japan, Taiwan and Spain. Masato Goto's co-authors include Yuichi Shimakawa, Yoshihiro Kuroiwa, Chikako Moriyoshi, Takashi Saito, Daisuke Kan, Hwo‐Shuenn Sheu, Yu‐Chun Chuang, Wei‐Tin Chen, Akira Matsuo and Kazuyoshi Yoshimura and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Masato Goto

41 papers receiving 368 citations

Author Peers

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

Author						Papers	Cites
Masato Goto	197	188	130	89	32	43	368
J.C. Bennett	175 0.9×	153 0.8×	63 0.5×	102 1.1×	50 1.6×	40	343
Masaru Kawaminami	231 1.2×	180 1.0×	107 0.8×	86 1.0×	50 1.6×	34	435
I.F. Gilmutdinov	239 1.2×	212 1.1×	111 0.9×	59 0.7×	26 0.8×	67	410
Takashi Kunimoto	225 1.1×	149 0.8×	156 1.2×	92 1.0×	84 2.6×	45	446
A. F. García‐Flores	255 1.3×	231 1.2×	116 0.9×	88 1.0×	49 1.5×	26	423
K. Rećko	226 1.1×	243 1.3×	107 0.8×	69 0.8×	47 1.5×	49	391
A. Yamamoto	242 1.2×	148 0.8×	102 0.8×	37 0.4×	31 1.0×	26	402
A. Rais	281 1.4×	226 1.2×	51 0.4×	119 1.3×	44 1.4×	34	398
María G. Moreno-Armenta	313 1.6×	108 0.6×	158 1.2×	114 1.3×	48 1.5×	37	421
Hari O. S. Yadav	140 0.7×	207 1.1×	101 0.8×	67 0.8×	52 1.6×	23	356

Countries citing papers authored by Masato Goto

Since Specialization

Citations

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

Fields of papers citing papers by Masato Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Goto

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