Noboru Matsuda

22 papers and 264 indexed citations i.

About

Noboru Matsuda is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Noboru Matsuda has authored 22 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Science Applications and 4 papers in Developmental and Educational Psychology. Recurrent topics in Noboru Matsuda’s work include Intelligent Tutoring Systems and Adaptive Learning (15 papers), AI-based Problem Solving and Planning (9 papers) and Online Learning and Analytics (5 papers). Noboru Matsuda is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (15 papers), AI-based Problem Solving and Planning (9 papers) and Online Learning and Analytics (5 papers). Noboru Matsuda collaborates with scholars based in United States, Japan and United Kingdom. Noboru Matsuda's co-authors include Kenneth R. Koedinger, William W. Cohen, Kurt VanLehn, Erin M. McTigue, Evelyn Yarzebinski, Gabriel J. Stylianides, Andrew Lee, Nan Li, Vania Dimitrova and Toshio Okamoto and has published in prestigious journals such as Journal of Educational Psychology, Artificial Intelligence and Cognitive Science.

In The Last Decade

Co-authorship network of co-authors of Noboru Matsuda i

Fields of papers citing papers by Noboru Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Noboru Matsuda

Since Specialization
Citations

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