Masao Oto

15 total papers · 413 total citations
3 papers, 350 citations indexed

About

Masao Oto is a scholar working on Cellular and Molecular Neuroscience, Ocean Engineering and Cognitive Neuroscience. According to data from OpenAlex, Masao Oto has authored 3 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Cellular and Molecular Neuroscience, 1 paper in Ocean Engineering and 1 paper in Cognitive Neuroscience. Recurrent topics in Masao Oto's work include EEG and Brain-Computer Interfaces (1 paper), Drilling and Well Engineering (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). Masao Oto is often cited by papers focused on EEG and Brain-Computer Interfaces (1 paper), Drilling and Well Engineering (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). Masao Oto collaborates with scholars based in Japan. Masao Oto's co-authors include Junichi Uchino, Ryusaku Yamada, Toshiharu Tsuzuki, Masamichi Kojiro, Michio Mito, Shigeki Arii, Ryuji Mizumoto, Takayoshi Tobe, Eizo Okamoto and Yasuo Endo and has published in prestigious journals such as Cancer, Journal of Rehabilitation Medicine and Coastal Engineering in Japan.

In The Last Decade

Masao Oto

3 papers receiving 330 citations

Author Peers

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

Author						Papers	Cites
Masao Oto	254	145	107	53	52	3	350
Kwang-Woong Lee	160 0.6×	83 0.6×	213 2.0×	21 0.4×	104 2.0×	8	401
Hsin-Chieh Tsay	87 0.3×	54 0.4×	67 0.6×	133 2.5×	24 0.5×	5	337
Dorothee Terhardt	128 0.5×	61 0.4×	98 0.9×	63 1.2×	57 1.1×	4	397
Niya Aleksieva	200 0.8×	94 0.6×	166 1.6×	34 0.6×	42 0.8×	6	395
Zankhana Raval	147 0.6×	74 0.5×	232 2.2×	25 0.5×	13 0.3×	6	373
Anna Katharina Frank	116 0.5×	159 1.1×	127 1.2×	9 0.2×	37 0.7×	5	371
A. K. Wilson	94 0.4×	41 0.3×	113 1.1×	12 0.2×	25 0.5×	5	348
Fung Yu Huang	109 0.4×	160 1.1×	33 0.3×	61 1.2×	57 1.1×	6	376
Qiu-Jie Zhao	19 0.1×	27 0.2×	57 0.5×	86 1.6×	52 1.0×	5	367
Sonia Benhamida	57 0.2×	58 0.4×	57 0.5×	5 0.1×	25 0.5×	7	296

Countries citing papers authored by Masao Oto

Since Specialization

Citations

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

Fields of papers citing papers by Masao Oto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Oto

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