User Modeling and User-Adapted Interaction

About

The 557 papers published in User Modeling and User-Adapted Interaction in the last decades have received a total of 20.5k indexed citations. Papers published in User Modeling and User-Adapted Interaction usually cover Artificial Intelligence (279 papers), Information Systems (196 papers) and Computer Vision and Pattern Recognition (96 papers) specifically the topics of Recommender Systems and Techniques (169 papers), Intelligent Tutoring Systems and Adaptive Learning (91 papers) and Speech and dialogue systems (60 papers). The most active scholars publishing in User Modeling and User-Adapted Interaction are Robin Burke, Peter Brusilovsky, Albert T. Corbett, John R. Anderson, Alfred Kobsa, Judith Masthoff, Dietmar Jannach, Gerhard Fischer, Li Chen and Julita Vassileva.

In The Last Decade

User Modeling and User-Adapted Interaction

521 papers receiving 18.8k citations

Fields of papers published in User Modeling and User-Adapted Interaction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in User Modeling and User-Adapted Interaction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in User Modeling and User-Adapted Interaction.

Countries where authors publish in User Modeling and User-Adapted Interaction

Since Specialization
Citations

This map shows the geographic impact of research published in User Modeling and User-Adapted Interaction. 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 papers published in User Modeling and User-Adapted Interaction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites User Modeling and User-Adapted Interaction 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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2026