Tetsuya Kaji

About

Tetsuya Kaji is a scholar working on Statistics and Probability, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tetsuya Kaji has authored 7 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 1 paper in Artificial Intelligence and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Tetsuya Kaji’s work include Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Tetsuya Kaji is often cited by papers focused on Statistical Methods and Inference (6 papers), Advanced Statistical Methods and Models (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). Tetsuya Kaji collaborates with scholars based in United States and Japan. Tetsuya Kaji's co-authors include Victor Chernozhukov, Iván Fernández‐Val, Elena Manresa, Kenichiro Hiraoka, Masaru Hayashi, Veronika Ročková, Kiyotaka Kawai and Yuko Kamada and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Visualized Experiments.

In The Last Decade

Co-authorship network of co-authors of Tetsuya Kaji i

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Fields of papers citing papers by Tetsuya Kaji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tetsuya Kaji

Since Specialization

Citations

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