Koiti Takahasi

14 papers and 706 indexed citations i.

About

Koiti Takahasi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Koiti Takahasi has authored 14 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Koiti Takahasi’s work include Statistical Distribution Estimation and Applications (8 papers), Bayesian Methods and Mixture Models (5 papers) and Probability and Risk Models (5 papers). Koiti Takahasi is often cited by papers focused on Statistical Distribution Estimation and Applications (8 papers), Bayesian Methods and Mixture Models (5 papers) and Probability and Risk Models (5 papers). Koiti Takahasi collaborates with scholars based in Japan and United States. Koiti Takahasi's co-authors include Kazumasa Wakimoto, Hirotaka Sakasegawa, MASAMI KUROKAWA, Kenji Nagasaka and Edward W. Barankin and has published in prestigious journals such as IEEE Transactions on Reliability, Annals of the Institute of Statistical Mathematics and Communication in Statistics- Theory and Methods.

In The Last Decade

Co-authorship network of co-authors of Koiti Takahasi i

Fields of papers citing papers by Koiti Takahasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Koiti Takahasi

Since Specialization
Citations

This map shows the geographic impact of Koiti Takahasi'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 Koiti Takahasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koiti Takahasi 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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2025