Masayuki Uchida

39 papers and 584 indexed citations i.

About

Masayuki Uchida is a scholar working on Finance, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Masayuki Uchida has authored 39 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Finance, 25 papers in Statistics and Probability and 11 papers in Artificial Intelligence. Recurrent topics in Masayuki Uchida’s work include Stochastic processes and financial applications (29 papers), Statistical Methods and Inference (24 papers) and Financial Risk and Volatility Modeling (11 papers). Masayuki Uchida is often cited by papers focused on Stochastic processes and financial applications (29 papers), Statistical Methods and Inference (24 papers) and Financial Risk and Volatility Modeling (11 papers). Masayuki Uchida collaborates with scholars based in Japan, Italy and United States. Masayuki Uchida's co-authors include Nakahiro Yoshida, Michael Sørensen, Kengo Kamatani, Sigeo Aki, Ryosuke Nomura, Stefano M. Iacus, Yuta Koike, Masaaki Fukasawa, H. Masuda and Hideitsu Hino and has published in prestigious journals such as Journal of Statistical Software, Stochastic Processes and their Applications and Journal of Statistical Planning and Inference.

In The Last Decade

Co-authorship network of co-authors of Masayuki Uchida i

Fields of papers citing papers by Masayuki Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masayuki Uchida

Since Specialization
Citations

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