Yasunori Fujikoshi

125 papers and 1.6k indexed citations i.

About

Yasunori Fujikoshi is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Yasunori Fujikoshi has authored 125 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Statistics and Probability, 41 papers in Artificial Intelligence and 21 papers in Applied Mathematics. Recurrent topics in Yasunori Fujikoshi’s work include Advanced Statistical Methods and Models (50 papers), Statistical Methods and Inference (42 papers) and Bayesian Methods and Mixture Models (39 papers). Yasunori Fujikoshi is often cited by papers focused on Advanced Statistical Methods and Models (50 papers), Statistical Methods and Inference (42 papers) and Bayesian Methods and Mixture Models (39 papers). Yasunori Fujikoshi collaborates with scholars based in Japan, United States and China. Yasunori Fujikoshi's co-authors include Hirokazu Yanagihara, Vladimir V. Ulyanov, Ryoichi Shimizu, Minoru Siotani, Nariaki Sugiura, Takashi Kanda, Takashi Seo, Muni S. Srivastava, Colin Goodall and Takesi Hayakawa and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Econometrics.

In The Last Decade

Co-authorship network of co-authors of Yasunori Fujikoshi i

Fields of papers citing papers by Yasunori Fujikoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yasunori Fujikoshi

Since Specialization
Citations

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