Kyoko Kanzaki

17 papers and 93 indexed citations i.

About

Kyoko Kanzaki is a scholar working on Artificial Intelligence, General Health Professions and Computational Theory and Mathematics. According to data from OpenAlex, Kyoko Kanzaki has authored 17 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in General Health Professions and 2 papers in Computational Theory and Mathematics. Recurrent topics in Kyoko Kanzaki’s work include Natural Language Processing Techniques (13 papers), Topic Modeling (10 papers) and Speech and dialogue systems (4 papers). Kyoko Kanzaki is often cited by papers focused on Natural Language Processing Techniques (13 papers), Topic Modeling (10 papers) and Speech and dialogue systems (4 papers). Kyoko Kanzaki collaborates with scholars based in Japan, United States and Switzerland. Kyoko Kanzaki's co-authors include Hitoshi Isahara, Francis Bond, Kiyotaka Uchimoto, Sanae Fujita, Manny Rayner, Beth Ann Hockey, Pierrette Bouillon, Piek Vossen, Qing Ma and Christiane Fellbaum and has published in prestigious journals such as Neural Networks, Lecture notes in computer science and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Kyoko Kanzaki i

Fields of papers citing papers by Kyoko Kanzaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kyoko Kanzaki

Since Specialization
Citations

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