Masato Okada

573 total papers · 4.4k total citations
312 papers, 2.5k citations indexed

About

Masato Okada is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Masato Okada has authored 312 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Artificial Intelligence, 113 papers in Cognitive Neuroscience and 63 papers in Statistical and Nonlinear Physics. Recurrent topics in Masato Okada's work include Neural dynamics and brain function (108 papers), Neural Networks and Applications (86 papers) and stochastic dynamics and bifurcation (38 papers). Masato Okada is often cited by papers focused on Neural dynamics and brain function (108 papers), Neural Networks and Applications (86 papers) and stochastic dynamics and bifurcation (38 papers). Masato Okada collaborates with scholars based in Japan, United States and Switzerland. Masato Okada's co-authors include Kenji Nagata, Yasuhiko Igarashi, Kentaro Katahira, Kazuo Okanoya, Tatsu Kuwatani, Keiji Miura, Toru Aonishi, Toshiki Tanaka, Ken Takiyama and Seiji Sugita and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Masato Okada

297 papers receiving 2.5k citations

Author Peers

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

Author Last Decade Papers Cites
Masato Okada 868 721 417 357 297 312 2.5k
H. Nishimura 547 0.6× 842 1.2× 580 1.4× 463 1.3× 198 0.7× 291 4.1k
Hanoch Gutfreund 1.4k 1.6× 2.0k 2.7× 824 2.0× 723 2.0× 332 1.1× 89 4.4k
José M. Amigó 414 0.5× 486 0.7× 147 0.4× 975 2.7× 303 1.0× 156 3.1k
Don H. Johnson 1.4k 1.6× 542 0.8× 796 1.9× 352 1.0× 145 0.5× 162 5.4k
А. Н. Павлов 771 0.9× 204 0.3× 119 0.3× 396 1.1× 101 0.3× 181 2.0k
K. Y. Michael Wong 262 0.3× 430 0.6× 608 1.5× 262 0.7× 105 0.4× 147 1.9k
Xiaoming Zhou 1.1k 1.3× 108 0.1× 281 0.7× 126 0.4× 170 0.6× 218 4.4k
Richard H. R. Hahnloser 1.4k 1.6× 638 0.9× 540 1.3× 158 0.4× 41 0.1× 85 3.8k
Miguel A. Muñoz 1.2k 1.3× 291 0.4× 289 0.7× 2.3k 6.4× 545 1.8× 159 5.5k
Joseph P. Zbilut 1.2k 1.3× 420 0.6× 83 0.2× 1.3k 3.7× 191 0.6× 109 5.3k

Countries citing papers authored by Masato Okada

Since Specialization
Citations

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

Fields of papers citing papers by Masato Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Okada

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