Tsunenori Mine

40 papers and 144 indexed citations i.

About

Tsunenori Mine is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Tsunenori Mine has authored 40 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 21 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Tsunenori Mine’s work include Recommender Systems and Techniques (8 papers), Online Learning and Analytics (7 papers) and Educational Technology and Assessment (7 papers). Tsunenori Mine is often cited by papers focused on Recommender Systems and Techniques (8 papers), Online Learning and Analytics (7 papers) and Educational Technology and Assessment (7 papers). Tsunenori Mine collaborates with scholars based in Japan, Egypt and Thailand. Tsunenori Mine's co-authors include Shaymaa E. Sorour, Kazunari Sugiyama, Sachio Hirokawa, Jingyi Luo, Shigemi Ishida, Akira Fukuda, Makoto Amamiya, Tokuro Matsuo, Sei‐ichiro Kamata and Keníchi Takahashi and has published in prestigious journals such as IEEE Access, Sustainability and Studies in computational intelligence.

In The Last Decade

Co-authorship network of co-authors of Tsunenori Mine i

Fields of papers citing papers by Tsunenori Mine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tsunenori Mine

Since Specialization
Citations

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