Kengo Kamatani

23 papers and 289 indexed citations i.

About

Kengo Kamatani is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Kengo Kamatani has authored 23 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 5 papers in Finance. Recurrent topics in Kengo Kamatani’s work include Markov Chains and Monte Carlo Methods (17 papers), Statistical Methods and Inference (14 papers) and Bayesian Methods and Mixture Models (6 papers). Kengo Kamatani is often cited by papers focused on Markov Chains and Monte Carlo Methods (17 papers), Statistical Methods and Inference (14 papers) and Bayesian Methods and Mixture Models (6 papers). Kengo Kamatani collaborates with scholars based in Japan, Singapore and United Kingdom. Kengo Kamatani's co-authors include Yan Zhou, Ajay Jasra, Masayuki Uchida, Kody J. H. Law, Alexandros Beskos, Dan Crisan, H. Masuda, Stefano M. Iacus, Ryosuke Nomura and Gareth O. Roberts and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Journal of Statistical Software and SIAM Journal on Scientific Computing.

In The Last Decade

Co-authorship network of co-authors of Kengo Kamatani i

Fields of papers citing papers by Kengo Kamatani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kengo Kamatani

Since Specialization
Citations

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