Ryohei Nakano

32 papers and 853 indexed citations i.

About

Ryohei Nakano is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Ryohei Nakano has authored 32 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Ryohei Nakano’s work include Neural Networks and Applications (15 papers), Bayesian Methods and Mixture Models (5 papers) and Face and Expression Recognition (4 papers). Ryohei Nakano is often cited by papers focused on Neural Networks and Applications (15 papers), Bayesian Methods and Mixture Models (5 papers) and Face and Expression Recognition (4 papers). Ryohei Nakano collaborates with scholars based in Japan and United Kingdom. Ryohei Nakano's co-authors include Naonori Ueda, Zoubin Ghahramani, Kazumi Saito, Geoffrey E. Hinton, Masahiro Kimura, Hiroshi Motoda, Kazumi Saito, Geoffrey E. Hinton, Takeshi Yamada and Yuval Davidor and has published in prestigious journals such as Information Sciences, Neural Computation and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Ryohei Nakano i

Fields of papers citing papers by Ryohei Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ryohei Nakano

Since Specialization
Citations

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

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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