Seiki Akama

26 papers and 87 indexed citations i.

About

Seiki Akama is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Experimental and Cognitive Psychology. According to data from OpenAlex, Seiki Akama has authored 26 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Seiki Akama’s work include Logic, Reasoning, and Knowledge (15 papers), Advanced Algebra and Logic (11 papers) and Rough Sets and Fuzzy Logic (10 papers). Seiki Akama is often cited by papers focused on Logic, Reasoning, and Knowledge (15 papers), Advanced Algebra and Logic (11 papers) and Rough Sets and Fuzzy Logic (10 papers). Seiki Akama collaborates with scholars based in Japan and Brazil. Seiki Akama's co-authors include Tetsuya Murai, Yasuo Kudo, Jair Minoro Abe, Sadaaki Miyamoto, Kazumi Nakamatsu, Masahiro Inuiguchi, Yasunori Nagata, João Inácio da Silva Filho and Hamid R. Arabnia and has published in prestigious journals such as International Journal of Approximate Reasoning, Synthese and Journal of Philosophical Logic.

In The Last Decade

Co-authorship network of co-authors of Seiki Akama i

Fields of papers citing papers by Seiki Akama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiki Akama

Since Specialization
Citations

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