Seiichi Iwamoto

45 papers and 291 indexed citations i.

About

Seiichi Iwamoto is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Seiichi Iwamoto has authored 45 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 13 papers in Control and Systems Engineering. Recurrent topics in Seiichi Iwamoto’s work include Reinforcement Learning in Robotics (18 papers), Optimization and Variational Analysis (10 papers) and Advanced Control Systems Optimization (10 papers). Seiichi Iwamoto is often cited by papers focused on Reinforcement Learning in Robotics (18 papers), Optimization and Variational Analysis (10 papers) and Advanced Control Systems Optimization (10 papers). Seiichi Iwamoto collaborates with scholars based in Japan, Canada and Australia. Seiichi Iwamoto's co-authors include Toshiharu Fujita, Moshe Sniedovich, Chung-Lie Wang, R. J. Tomkins and Masami Yasuda and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Computers & Mathematics with Applications and Applied Mathematics and Computation.

In The Last Decade

Co-authorship network of co-authors of Seiichi Iwamoto i

Fields of papers citing papers by Seiichi Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiichi Iwamoto

Since Specialization
Citations

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