Kazumasa Wakimoto

35 papers and 701 indexed citations i.

About

Kazumasa Wakimoto is a scholar working on Mechanical Engineering, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Kazumasa Wakimoto has authored 35 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 7 papers in Statistics and Probability and 6 papers in Artificial Intelligence. Recurrent topics in Kazumasa Wakimoto’s work include Iron and Steelmaking Processes (8 papers), Metallurgical Processes and Thermodynamics (7 papers) and Bayesian Methods and Mixture Models (4 papers). Kazumasa Wakimoto is often cited by papers focused on Iron and Steelmaking Processes (8 papers), Metallurgical Processes and Thermodynamics (7 papers) and Bayesian Methods and Mixture Models (4 papers). Kazumasa Wakimoto collaborates with scholars based in Japan, Ukraine and Canada. Kazumasa Wakimoto's co-authors include Koiti Takahasi, M. Iwase, M. Hasegawa, Alex McLean, Takashi Yanagawa, Masaaki Sakurai, Tatsuro Ariyama, M. Matsuura, Masanori Iwase and Koichi Hashimoto and has published in prestigious journals such as The Annals of Statistics, Computational Statistics & Data Analysis and ISIJ International.

In The Last Decade

Co-authorship network of co-authors of Kazumasa Wakimoto i

Fields of papers citing papers by Kazumasa Wakimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazumasa Wakimoto

Since Specialization
Citations

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