Satoshi Kuriki

53 papers and 528 indexed citations i.

About

Satoshi Kuriki is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Satoshi Kuriki has authored 53 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 14 papers in Applied Mathematics. Recurrent topics in Satoshi Kuriki’s work include Bayesian Methods and Mixture Models (12 papers), Point processes and geometric inequalities (10 papers) and Statistical Methods and Bayesian Inference (10 papers). Satoshi Kuriki is often cited by papers focused on Bayesian Methods and Mixture Models (12 papers), Point processes and geometric inequalities (10 papers) and Statistical Methods and Bayesian Inference (10 papers). Satoshi Kuriki collaborates with scholars based in Japan, United States and Taiwan. Satoshi Kuriki's co-authors include Akimichi Takemura, Anthony J. Hayter, Tetsuhisa Miwa, Takahiko Matsubara, Gwo Dong Lin, Steven D. Blostein, Hyundong Shin, Yoshikazu Miyanaga, Yasuhide Numata and Riichi Takahashi and has published in prestigious journals such as Genetics, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Satoshi Kuriki i

Fields of papers citing papers by Satoshi Kuriki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Satoshi Kuriki

Since Specialization
Citations

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