Noriko Tomuro

21 papers and 270 indexed citations i.

About

Noriko Tomuro is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Noriko Tomuro has authored 21 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Human-Computer Interaction. Recurrent topics in Noriko Tomuro’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Gesture Recognition in Human-Computer Interaction (4 papers). Noriko Tomuro is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Gesture Recognition in Human-Computer Interaction (4 papers). Noriko Tomuro collaborates with scholars based in United States, Japan and Australia. Noriko Tomuro's co-authors include Steven L. Lytinen, Kristian J. Hammond, Vladimir Kulyukin, Robin Burke, Jacob Furst, Daniela Raicu, Yu Zhang, Emilia Apostolova, José P. Zagal and Dina Demner‐Fushman and has published in prestigious journals such as AI Magazine, Language Resources and Evaluation and The Visual Computer.

In The Last Decade

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

Fields of papers citing papers by Noriko Tomuro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noriko Tomuro

Since Specialization
Citations

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