Noriko Kando

123 papers and 841 indexed citations i.

About

Noriko Kando is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Noriko Kando has authored 123 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 49 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Noriko Kando’s work include Topic Modeling (44 papers), Natural Language Processing Techniques (37 papers) and Information Retrieval and Search Behavior (30 papers). Noriko Kando is often cited by papers focused on Topic Modeling (44 papers), Natural Language Processing Techniques (37 papers) and Information Retrieval and Search Behavior (30 papers). Noriko Kando collaborates with scholars based in Japan, United States and United Kingdom. Noriko Kando's co-authors include Makoto Iwayama, Atsushi Fujii, Tetsuya Sakai, Fredric C. Gey, C Peters, Tsuneaki Kato, Yohei Seki, Akihiko Takano, Xiao Hu and Teruko Mitamura and has published in prestigious journals such as Communications of the ACM, Cognitive Science and Information Processing & Management.

In The Last Decade

Co-authorship network of co-authors of Noriko Kando i

Fields of papers citing papers by Noriko Kando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noriko Kando

Since Specialization
Citations

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